The Unsupervised Acquisition of a Lexicon from Continuous Speech

We present an unsupervised learning algorithm that acquires a natural-language lexicon from raw speech. The algorithm is based on the optimal encoding of symbol sequences in an MDL framework, and uses a hierarchical representation of language that overcomes many of the problems that have stymied previous grammar-induction procedures. The forward mapping from symbol sequences to the speech stream is modeled using features based on articulatory gestures. We present results on the acquisition of lexicons and language models from raw speech, text, and phonetic transcripts, and demonstrate that our algorithm compares very favorably to other reported results with respect to segmentation performance and statistical efficiency.Comment: 27 page technical repor

'The big buzz': a qualitative study of how safe care is perceived, understood and improved in general practice

Background: Exploring frontline staff perceptions of patient safety is important, because they largely determine how improvement interventions are understood and implemented. However, research evidence in this area is very limited. This study therefore: explores participants’ understanding of patient safety as a concept; describes the factors thought to contribute to patient safety incidents (PSIs); and identifies existing improvement actions and potential opportunities for future interventions to help mitigate risks. Methods: A total of 34 semi-structured interviews were conducted with 11 general practitioners, 12 practice nurses and 11 practice managers in the West of Scotland. The data were thematically analysed. Results: Patient safety was considered an important and integral part of routine practice. Participants perceived a proportion of PSIs as being inevitable and therefore not preventable. However, there was consensus that most factors contributing to PSIs are amenable to improvement efforts and acknolwedgement that the potential exists for further enhancements in care procedures and systems. Most were aware of, or already using, a wide range of safety improvement tools for this purpose. While the vast majority was able to identify specific, safety-critical areas requiring further action, this was counter-balanced by the reality that additional resources were a decisive requirment. Conclusion: The perceptions of participants in this study are comparable with the international patient safety literature: frontline staff and clinicians are aware of and potentially able to address a wide range of safety threats. However, they require additional resources and support to do so

Feeding the Cities and Greenhouse Gas Emissions - Beyond the Food Miles Approach

In this paper, we study the impact of urbanization on the location of agricultural production and the GHG emissions related to transportation activities. We develop an economic geography model where the location of agricultural activities and urban population are endogenous. We show that increasing agricultural yields induce the spatial concentration of agricultural production in the least urbanized region if agricultural transport costs are relatively low and in the most urbanized region otherwise. In addition, interregional trade in agricultural commodities is desirable to reduce GHG emissions, except when urban population is equally split between cities. However, the market may induce too much agglomeration of agricultural production when yields are high and when collection costs are low.Urbanization, agriculture location, transport, Environmental Economics and Policy, Food Security and Poverty, Q10, Q54, R12,

Resonant d-wave scattering in harmonic waveguides

We observe and analyze d-wave resonant scattering of bosons in tightly confining harmonic waveguides. It is shown that the d-wave resonance emerges in the quasi-1D regime as an imprint of a 3D d-wave shape resonance. A scaling relation for the position of the d-wave resonance is provided. By changing the trap frequency, ultracold scattering can be continuously tuned from s-wave to d-wave resonant behavior. The effect can be utilized for the realization of ultracold atomic gases interacting via higher partial waves and opens a novel possibility for studying strongly correlated atomic systems beyond s-wave physics.Comment: 6 pages, 9 figure

Infrared thermography-calorimetric quantitation of energy expenditure in biomechanically different types of jūdō throwing techniques: a pilot study

It was the purpose of this pilot study to assess the energy expenditure (EE) of two biome-chanically different jūdō throws, namely, the simple mechanical couple-based uchi-mata vs. the lever-based throw ippon-seoi-nage, using infrared thermal calorimetry (ITC). Testing subjects included one Caucasian female elite athlete (age: 26.4 years) and one male veteran jūdōka (age: 50.8 years). ITC images were captured by an Avio NEC InfRec R300 camera and thermal data obtained were plotted into a proprietary equation for estimation of EE. Data were compared to respiratory data obtained by a Cosmed K4 b2 portable gas analyzer. Oxy-gen consumption as estimated by ITC capture during practice of uchi-mata was markedly lower than during performance ippon-seoi-nage in the female (457 mL•min-1 vs. 540 mL•min-1, P<0.05) and male subject (1,078 mL•min-1 vs. 1,088 mL•min-1, NS), with the difference in values between both genders subject being significant (P<0.01). The metabolic cost of the exercise (uchi-mata vs. ippon-seoi-nage) itself was 1.26 kcal•min-1 (88 W) vs. 1.68 kcal•min-1 (117 W) (P<0.05) in the female subject, and 2.97 kcal•min-1 (207 W) (P<0.01) vs. 3.02 kcal•min-1 (211 W) (NS) in the male subject. Values for the female were significantly differ-ent (P<0.01) from those of the male subject. The results support the initial hypothesis that the couple-based jūdō throws (in this case, uchi-mata) are energetically more efficient than lever-based throws, such as ippon-seoi-nage. Application of this approach may be of practical use for coaches in optimizing energy-saving strategies in both elite and veteran jūdō athletes

An Estimation of the Gamma-Ray Burst Afterglow Apparent Optical Brightness Distribution Function

By using recent publicly available observational data obtained in conjunction with the NASA Swift gamma-ray burst mission and a novel data analysis technique, we have been able to make some rough estimates of the GRB afterglow apparent optical brightness distribution function. The results suggest that 71% of all burst afterglows have optical magnitudes with mR < 22.1 at 1000 seconds after the burst onset, the dimmest detected object in the data sample. There is a strong indication that the apparent optical magnitude distribution function peaks at mR ~ 19.5. Such estimates may prove useful in guiding future plans to improve GRB counterpart observation programs. The employed numerical techniques might find application in a variety of other data analysis problems in which the intrinsic distributions must be inferred from a heterogeneous sample.Comment: 15 pages including 2 tables and 7 figures, accepted for publication in Ap