Boston Hospitality Review: Fall 2015

U.S. Lodging Industry Update – Q2 2015 by Daniel Lesser and Jonathan Jaeger of LW Hospitality Advisors® -- Hotel Crowdfunding Grows Up by Joshua Bowman -- Digital Marketing Budgets for Independent Hotels: Continuously Shifting to Remain Competitive in the Online World by Leora Halpern Lanz and Megan Carmichael -- From Patrons to Chefs, a History of Women in Restaurants by Jan Whitaker -- The Bleacher Bar at Fenway Park: Transforming a Former Indoor Batting Cage Into a Unique Eatery and Bar by Graham Ruggie -- Outrageous by Michael Oshin

Boston Hospitality Review: Winter 2016

The Evolution of Dual-Branded Hotels: How the Marriott/Starwood Acquisition Enhances Opportunities for Developers By Daniel Lesser, Jonathan Jaeger, & Jeremy Gilston of LW Hospitality Advisors® -- The Making of Airbnb by Morgan Brown -- Hotel E-Commerce: Navigating the Complex Hospitality Digital Marketing Landscape by Leora Halpern Lanz -- Being Lord Grantham: Aristocratic Brand Heritage and the Cunard Transatlantic Crossing by Bradford Hudson -- Hospitality Management: Learning, Doing, Knowing by Christopher Muller -- Disruption from the Inside-Out: Innovation in the Restaurant Industry By Makaela Reink

Detecting Fires: A Nationally Consistent, Rule Based Approach

One of the continuing challenges in wildland fire management is maintaining accurate vegetation and fuel data of an adequate resolution on an ever-changing landscape. The USGS’s LANDFIRE program produces national, mid-level resolution datasets of fuel, vegetation, and fire regime data useful in the modeling of wildland fire behavior. One of the most effective and least expensive ways for maintaining the accuracy of these layers is to incorporate area updates by detecting landscape changes. While many algorithms exist for detecting change and disturbances, these algorithms are often tuned for a particular landscape and require very precise training data or rely heavily on scene statistics. This research looks at a method for detecting wildland fire across a broad array of landscapes using a collection of computer-generated rules built from hundreds of thousands of points of training data. Verification of the results were assessed by visual comparison to a time series of high spatial resolution imagery through Google Earth and cross-referenced to fires from various historical databases. A majority of the fires detected in this assessment were in either a conifer or grassland landscape. The methods outlined in this thesis performed best in those two landscapes, detecting 73% to 78% of conifer fires correctly and 79% to 83% of grassland fires correctly

The Use of Song to Open an Educational Development Workshop: Exploratory Analysis and Reflections

Song has been used by faculty of many disciplines in their classrooms and, to a lesser extent, by educational developers in workshops. This paper shares and discusses a new song (about an instructor’s evolving openness to alternatives to lecture only teaching) and its novel use to open an educational development workshop. Self reported participant data from an exploratory survey suggest that the song was most effective in reducing stress as well as in increasing motivation, morale, engagement, and connection. Practical implications and implementation considerations are discussed regarding the song as well as related creative work

Observations and asteroseismic analysis of the rapidly pulsating hot B subdwarf PG 0911+456

The principal aim of this project is to determine the structural parameters of the rapidly pulsating subdwarf B star PG 0911+456 from asteroseismology. Our work forms part of an ongoing programme to constrain the internal characteristics of hot B subdwarfs with the long-term goal of differentiating between the various formation scenarios proposed for these objects. First comparisons of asteroseismic values with evolutionary theory look promising, however it is clear that more targets are needed for meaningful statistics to be derived. The observational pulsation periods of PG 0911+456 were extracted from rapid time-series photometry using standard Fourier analysis techniques. Supplemented by spectroscopic estimates of the star's mean atmospheric parameters, they were used as a basis for the "forward modelling" approach in asteroseismology. The latter culminates in the identification of one or more "optimal" models that can accurately reproduce the observed period spectrum. This naturally leads to an identification of the oscillations detected in terms of degree l and radial order k, and infers the structural parameters of the target. From the photometry it was possible to extract 7 independent pulsation periods in the 150-200 s range with amplitudes between 0.05 and 0.8 % of the star's mean brightness. An asteroseismic search of parameter space identified several models that matched the observed properties of PG 0911+456 well, one of which was isolated as the "optimal" model on the basis of spectroscopic and mode identification considerations. All the observed pulsations are identified with low-order acoustic modes with degree indices l=0,1,2 and 4, and match the computed periods with a dispersion of only ~0.26 %.Comment: accepted for publication in A&A, 14 pages, 13 figure

Genetic Structure in the Coral, Montastraea cavernosa: Assessing Genetic Differentiation among and within Mesophotic Reefs

Mesophotic coral reefs (30–150 m) have recently received increased attention as a potential source of larvae (e.g., the refugia hypothesis) to repopulate a select subset of the shallow water (,30 m) coral fauna. To test the refugia hypothesis we used highly polymorphic Amplified Fragment Length Polymorphism (AFLP) markers as a means to assess small-scale genetic heterogeneity between geographic locations and across depth clines in the Caribbean coral, Montastraea cavernosa. Zooxanthellae-free DNA extracts of coral samples (N = 105) were analyzed from four depths, shallow (3–10 m), medium (15– 25 m), deep (30–50 m) and very deep (60–90 m) from Little Cayman Island (LCI), Lee Stocking Island (LSI), Bahamas and San Salvador (SS), Bahamas which range in distance from 170 to 1,600 km apart. Using AMOVA analysis there were significant differences in WST values in pair wise comparisons between LCI and LSI. Among depths at LCI, there was significant genetic differentiation between shallow and medium versus deep and very deep depths in contrast there were no significant differences in WST values among depths at LSI. The assignment program AFLPOP, however, correctly assigned 95.7% of the LCI and LSI samples to the depths from which they were collected, differentiating among populations as little as 10 to 20 m in depth from one another. Discriminant function analysis of the data showed significant differentiation among samples when categorized by collection site as well as collection depth. FST outlier analyses identified 2 loci under positive selection and 3 under balancing selection at LCI. At LSI 2 loci were identified, both showing balancing selection. This data shows that adult populations of M. cavernosa separated by depths of tens of meters exhibits significant genetic structure, indicative of low population connectivity among and within sites and are not supplying successful recruits to adjacent coral reefs less than 30 m in depth

Mixed-Mode Surveys Compared with Single Mode Surveys: Trends in Responses and Methods to Improve Completion

This article reviews recent trends in modes of conducting surveys and presents results from a series of experiments comparing different approaches for collecting survey data and improving response rates in general population studies. The modes examined include the telephone, mail, and a mixed-mode method which combines mail with Web data collection. A series of studies were conducted by the Oregon State University Survey Research Center from 2006-2014 using probability samples of Oregon residents. Response rates and the percent of respondents completing the questionnaires by Web were compared. The results showed that response rates were increased by modifying the cover letter to emphasize the cost savings of an online response, adding a fifth contact, and limiting instructions for respondents. A mixed-mode approach, providing only a Web link, resulted in more respondents replying by Web as compared with individuals given an option of completing the questionnaire by Web or mail. The demographics of the respondents, as compared with the general population, varied across each mode

Clap Detection and Discrimination for Rhythm Therapy

An auditory training system relies on determining how well individual users can clap their hands together 'in time' with a prompt. Because the system is intended for a scenario in which an entire class of students is simultaneously engaged in this training, each system must distinguish between the claps of a single user and background claps from other nearby users. Available cues for this discrimination include the absolute energy of the clap sound, its source azimuth (estimated from stereo microphones), and its range as conveyed by the direct-to-reverberant energy balance. We present a set of features to capture these cues, and report our results on detecting and distinguishing 'near-field' and 'far-field' claps in a corpus of 1650 claps recorded in realistic classroom environments. When room and location are matched between training and test data, the classification error rate falls as low as 0.13%; when training data is recorded from a separate room, the error rate is still below 4.8% in the worst case