Blowing in the wind: using ‘North Wind and the Sun’ texts to sample phoneme inventories

Language documentation faces a persistent and pervasive problem: How much material is enough to represent a language fully? How much text would we need to sample the full phoneme inventory of a language? In the phonetic/phonemic domain, what proportion of the phoneme inventory can we expect to sample in a text of a given length? Answering these questions in a quantifiable way is tricky, but asking them is necessary. The cumulative collection of Illustrative Texts published in the Illustration series in this journal over more than four decades (mostly renditions of the ‘North Wind and the Sun’) gives us an ideal dataset for pursuing these questions. Here we investigate a tractable subset of the above questions, namely: What proportion of a language’s phoneme inventory do these texts enable us to recover, in the minimal sense of having at least one allophone of each phoneme? We find that, even with this low bar, only three languages (Modern Greek, Shipibo and the Treger dialect of Breton) attest all phonemes in these texts. Unsurprisingly, these languages sit at the low end of phoneme inventory sizes (respectively 23, 24 and 36 phonemes). We then estimate the rate at which phonemes are sampled in the Illustrative Texts and extrapolate to see how much text it might take to display a language’s full inventory. Finally, we discuss the implications of these findings for linguistics in its quest to represent the world’s phonetic diversity, and for JIPA in its design requirements for Illustrations and in particular whether supplementary panphonic texts should be included.1 Introduction 2 Language sample 3 Data coding 3.1 Lengh/gemination 3.2 Diphthongs vs. vowel sequences 3.3 Tonal contrasts 3.4 Illustration of an Illustration: Shilluk 4 Overview of the JIPA Illustration text corpus 5 Transcript coverage 6 The nature of phoneme frequency distributions 7 Recovering the full phoneme inventory 8 Evaluating the methods against a larger corpus 9 Returning to the cross-linguistic data 10 Estimating the amount of audio needed 11 Effect on recovery of cross-linguistic frequency/rarity 12 Discussion 12.1 Recommendations for JIPA 12.2 How many data are needed to fully capture a language’s phoneme inventory? 13 Conclusio

DynPeak : An algorithm for pulse detection and frequency analysis in hormonal time series

The endocrine control of the reproductive function is often studied from the analysis of luteinizing hormone (LH) pulsatile secretion by the pituitary gland. Whereas measurements in the cavernous sinus cumulate anatomical and technical difficulties, LH levels can be easily assessed from jugular blood. However, plasma levels result from a convolution process due to clearance effects when LH enters the general circulation. Simultaneous measurements comparing LH levels in the cavernous sinus and jugular blood have revealed clear differences in the pulse shape, the amplitude and the baseline. Besides, experimental sampling occurs at a relatively low frequency (typically every 10 min) with respect to LH highest frequency release (one pulse per hour) and the resulting LH measurements are noised by both experimental and assay errors. As a result, the pattern of plasma LH may be not so clearly pulsatile. Yet, reliable information on the InterPulse Intervals (IPI) is a prerequisite to study precisely the steroid feedback exerted on the pituitary level. Hence, there is a real need for robust IPI detection algorithms. In this article, we present an algorithm for the monitoring of LH pulse frequency, basing ourselves both on the available endocrinological knowledge on LH pulse (shape and duration with respect to the frequency regime) and synthetic LH data generated by a simple model. We make use of synthetic data to make clear some basic notions underlying our algorithmic choices. We focus on explaining how the process of sampling affects drastically the original pattern of secretion, and especially the amplitude of the detectable pulses. We then describe the algorithm in details and perform it on different sets of both synthetic and experimental LH time series. We further comment on how to diagnose possible outliers from the series of IPIs which is the main output of the algorithm.Comment: Nombre de pages : 35 ; Nombre de figures : 16 ; Nombre de tableaux :

Entrepreneurship in a Transition Economy: An Examination of Venture Creation in Hungary

This study examines entrepreneurs and new ventures in a transition economy, Hungary, and identifies what variables distinguish between Hungarian entrepreneurs and their new ventures in the pre-1988 transition period from that which followed. The variables that discriminate most strongly are their business strategies. The newer firms had a concentration strategy while the older firms had a new product development strategy. Other variables that discriminated between the groups include reacting to the political environment, satisfaction with firm performance, encouragement from investors, recent investment in building improvement, and family history of entrepreneurship. The newer entrepreneurs had more family role models of entrepreneurship

CAPTCHaStar! A novel CAPTCHA based on interactive shape discovery

Over the last years, most websites on which users can register (e.g., email providers and social networks) adopted CAPTCHAs (Completely Automated Public Turing test to tell Computers and Humans Apart) as a countermeasure against automated attacks. The battle of wits between designers and attackers of CAPTCHAs led to current ones being annoying and hard to solve for users, while still being vulnerable to automated attacks. In this paper, we propose CAPTCHaStar, a new image-based CAPTCHA that relies on user interaction. This novel CAPTCHA leverages the innate human ability to recognize shapes in a confused environment. We assess the effectiveness of our proposal for the two key aspects for CAPTCHAs, i.e., usability, and resiliency to automated attacks. In particular, we evaluated the usability, carrying out a thorough user study, and we tested the resiliency of our proposal against several types of automated attacks: traditional ones; designed ad-hoc for our proposal; and based on machine learning. Compared to the state of the art, our proposal is more user friendly (e.g., only some 35% of the users prefer current solutions, such as text-based CAPTCHAs) and more resilient to automated attacks.Comment: 15 page

Alliances and Networks: Cooperative Strategies for Small Businesses

Research on large firms shows that cooperative strategies have the potential to improve performance by helping firms gain access to necessary resources, enter new markets, and spread the risk over several partners. Interviews with thirty-four small business managers show small firms also can profit from using a cooperative network. Highly-allied small businesses entered alliances to gain resources and based their alliances on a distinctive competence. The highly allied businesses grew more rapidly than the less allied firms. Mutual goals and joint decision making were viewed as critical to the high level of satisfaction achieved

Formalized Planning in Small Business: Increasing Strategic Choices

A study of 188 small businesses was conducted to examine three distinct relationships in the planning process planning formality in relation to strategic decision processes, planning formality in relation to the strategies adopted, and planning formality in relation to firm performance. The results demonstrated that firms with formal planning emphasized more aspects of the strategic choice process, adopted a wider range of competitive and cooperative strategies, and grew more rapidly than did non-formal planners

Electric Field-Free Gas Breakdown in Explosively Driven Generators

All known types of gas discharges require an electric field to initiate them. We are reporting on a unique type of gas breakdown in explosively driven generators that does not require an electric field

Use of the Ober2 system for analysis of eye movements made during reading

Introduction: The Ober2 system uses infrared reflections to record and analyze eye movements made during reading. The system\u27s ability to analyze data from normal subjects, and the reliability of the data produced by subjects who read standard paragraphs were investigated in this study. Subjects: Forty-two college students and 20 junior high students participated in the project. All were self-reported normal readers. Methods: Subjects read 5 different paragraphs during each of two sessions. Ober2 analysis was attempted for each paragraph; analysis of all 10 paragraphs was successful for 38 percent of the college subjects and 20 percent of the junior high subjects. Use of manual calibration procedures did not allow any additional data to be analyzed by the Ober2 system. Results: Data from 30% of the paragraph presentations could not be analyzed by the Ober2. When analysis was successful, grade equivalent scores based on fixations, span of recognition, regressions, fixation duration, and reading rate were provided. Using mean grade equivalents from the 16 college subjects for whom all 10 paragraphs could be analyzed, significant differences were found between results for two of the test paragraphs. Split-half reliability coefficients for grade equivalent data from the two sessions ranged from 0.84 to 0.95. Conclusions: Although the Ober2 can provide valuable information on eye movements made during reading, problems exist with respect to its ability to analyze data. The analysis failures that occurred for approximately one-third of the paragraph presentations were frustrating and time consuming. With respect to the standard paragraphs, significant grade equivalent differences were found between several of them. These results suggest that caution be used when interpreting data from the Ober2 reading analysis system

Whistle characteristics and daytime dive behavior in pantropical spotted dolphins (Stenella attenuata) in Hawai‘i measured using digital acoustic recording tags (DTAGs)

Funding to support P.L.T. was received from the MASTS pooling initiative (The Marine Alliance for Science and Technology for Scotland) and their support is gratefully acknowledged. MASTS is funded by the Scottish Funding Council (grant reference HR09011) and contributing institutions.This study characterizes daytime acoustic and dive behavior of pantropical spotted dolphins (Stenella attenuata) in Hawai‘i using 14.58 h of data collected from five deployments of digital acoustic recording tags (DTAG3) in 2013. For each tagged animal, the number of whistles, foraging buzzes, dive profiles, and dive statistics were calculated. Start, end, minimum, and maximum frequencies, number of inflection points and duration were measured from 746 whistles. Whistles ranged in frequency from 9.7 ± 2.8 to 19.8 ± 4.2 kHz, had a mean duration of 0.7 ± 0.5 s and a mean of 1.2 ± 1.2 inflection points. Thirteen foraging buzzes were recorded across all tags. Mean dive depth and duration were 16 ± 9 m and 1.9 ± 1.0 min, respectively. Tagged animals spent the majority of time in the upper 10 m (76.9% ± 16.1%) of the water column. Both whistle frequency characteristics and dive statistics measured here were similar to previously reported values for spotted dolphins in Hawai‘i. Shallow, short dive profiles combined with few foraging buzzes provide evidence that little spotted dolphin feeding behavior occurs during daytime hours. This work represents one of the first successful DTAG3 studies of small pelagic delphinids, providing rare insights into baseline bioacoustics and dive behavior.Publisher PDFPeer reviewe