analyses from a cross-sectional online survey

Objectives Opportunities for men having sex with men (MSM) to meet each other have very much improved by new communication technologies. Meeting venue-based characteristics can impact how many partners are met and how much sexual risk is taken. We analysed the association between physical and virtual venues and the risk for bacterial sexually transmitted infections (bSTIs) among participants in an MSM online survey. Methods Data were collected during 2013/2014 with a survey targeting MSM living in Germany. The impact of the meeting place with the last non-steady anal sex partner on diagnosis with a bSTI in the previous year was analysed using bivariate and multivariate regression analysis, taking into account self-reported HIV status, serostatus communication, condom use, partner number, age and city size. Results The study sample consisted of 8878 respondents (7799 not diagnosed with HIV; 1079 diagnosed with HIV). Meeting partners online was most common (62% HIV−/51% HIV+), followed by sex venues (11% HIV−/25% HIV+); other venues were each reported by 2–6% of the respondents. Venue-dependent proportions reporting bSTIs in the recent year were 2–4 folds higher among men diagnosed with HIV. In multivariate analysis, HIV status was the strongest predictor for bSTIs (OR=5.0; 95% CI 2.8 to 8.7). Compared with meeting partners online, sex (OR 1.6; 95% CI 1.0 to 2.5) and social venues (OR 1.9; 95% CI 1.4 to 2.6) were associated with increased bSTI risk for men not diagnosed with HIV, but the risk when meeting partners by smartphone apps was only of borderline significance (OR 1.5; 95% CI 0.9 to 2.3). For men diagnosed with HIV, bSTI risk increased for sex venues (OR 1.5; 95% CI 1.1 to 2.1), and was lower for non-gay/other venues (OR 0.2; 95% CI 0.1 to 0.5). Conclusions Venues are connected to social-behavioural facets of corresponding sexual encounters, and may be important arenas for differential HIV and STI education, treatment and prevention

Evaluation of a temporary vaccination recommendation in response to an outbreak of invasive meningococcal serogroup C disease in men who have sex with men in Berlin, 2013-2014

Meningococcal serogroup C (MenC) vaccination of men who have sex with men (MSM) was temporarily recommended to control an outbreak of invasive MenC disease among MSM in Berlin in 2012–2013. Vaccination was offered to HIV- infected MSM free of charge; others had to request reimbursement or pay out of pocket. We aimed to assess (i) awareness and acceptance of this recommendation through an online survey of MSM, (ii) implementation through a survey of primary care physicians and analysis of vaccine prescriptions, and (iii) impact through analysis of notified cases. Among online survey respondents, 60% were aware of the recommendation. Of these, 39% had obtained vaccination (70% of HIV-infected, 13% of HIV-negative/non-tested MSM). Awareness of recommendation and vaccination were positively associated with HIV infection, primary care physicians’ awareness of respondents’ sexual orientation, and exposure to multiple information sources. Most (26/30) physicians informed clients about the recommendation. Physicians considered concerns regarding reimbursement, vaccine safety and lack of perceived disease risk as primary barriers. After the recommendation, no further outbreak-related cases occurred. To reach and motivate target groups, communication of a new outbreak-related vaccination recommendation should address potential concerns through as many information channels as possible and direct reimbursement of costs should be enabled

Detection of a tertiary brown dwarf companion in the sdB-type eclipsing binary HS 0705+6700

HS 0705+6700 is a short-period (P=2.3 hours), close binary containing a hot sdB-type primary and a fully convective secondary. We have monitored this eclipsing binary for more than 2 years and as a result, 32 times of light minimum were obtained. Based on our new eclipse times together with these compiled from the literature, it is discovered that the O-C curve of HS 0705+6700 shows a cyclic variation with a period of 7.15 years and a semiamplitude of 92.4 s. The periodic change was analyzed for the light-travel time effect that may be due to the presence of a tertiary companion. The mass of the third body is determined to be M3 sin i = 0.0377 (+/-0.0043) Msun when a total mass of 0.617 Msun for HS 0705+6700 is adopted. For orbital inclinations i >= 32.8, the mass of the tertiary component would be below the stable hydrogen-burning limit of M3~0.072 Msun, and thus it would be a brown dwarf. The third body is orbiting the sdB-type binary at a distance shorter than 3.6 astronomical units (AU). HS 0705+6700 was formed through the evolution of a common envelope after the primary becomes a red giant. The detection of a sub-stellar companion in HS 0705+6700 system at this distance from the binary could give some constraints on stellar evolution in such systems and the interactions between red giants and their companions.Comment: 10 pages, 3 figures To be published in Astrophysical Journa

Improved accuracy of multiple ncRNA alignment by incorporating structural information into a MAFFT-based framework

<p>Abstract</p> <p>Background</p> <p>Structural alignment of RNAs is becoming important, since the discovery of functional non-coding RNAs (ncRNAs). Recent studies, mainly based on various approximations of the Sankoff algorithm, have resulted in considerable improvement in the accuracy of pairwise structural alignment. In contrast, for the cases with more than two sequences, the practical merit of structural alignment remains unclear as compared to traditional sequence-based methods, although the importance of multiple structural alignment is widely recognized.</p> <p>Results</p> <p>We took a different approach from a straightforward extension of the Sankoff algorithm to the multiple alignments from the viewpoints of accuracy and time complexity. As a new option of the MAFFT alignment program, we developed a multiple RNA alignment framework, X-INS-i, which builds a multiple alignment with an iterative method incorporating structural information through two components: (1) pairwise structural alignments by an external pairwise alignment method such as SCARNA or LaRA and (2) a new objective function, Four-way Consistency, derived from the base-pairing probability of every sub-aligned group at every multiple alignment stage.</p> <p>Conclusion</p> <p>The BRAliBASE benchmark showed that X-INS-i outperforms other methods currently available in the sum-of-pairs score (SPS) criterion. As a basis for predicting common secondary structure, the accuracy of the present method is comparable to or rather higher than those of the current leading methods such as RNA Sampler. The X-INS-i framework can be used for building a multiple RNA alignment from any combination of algorithms for pairwise RNA alignment and base-pairing probability. The source code is available at the webpage found in the Availability and requirements section.</p

Phonotactic language identification for singing

In the past decades, many successful approaches for language identification have been published. However, almost none of these approaches were developed with singing in mind. Singing has a lot of characteristics that differ from speech, such as a wider variance of fundamental frequencies and phoneme durations, vibrato, pronunciation differences, and different semantic content. We present a new phonotactic language identification system for singing based on phoneme posteriorgrams. These posteriorgrams were extracted using acoustic models trained on English speech ( TIMIT) and on an unannotated English-language a-capella singing dataset ( DAMP). SVM models were then trained on phoneme statistics. The models are evaluated on a set of amateur singing recordings from YouTube, and, for comparison, on the OGI Multilanguage corpus. While the results on a-capella singing are somewhat worse than the ones previously obtained using i-vector extraction, this approach is easier to implement. Phoneme posteriorgrams need to be extracted for many applications, and can easily be employed for language identification using this approach. The results on singing improve significantly when the utilized acoustic models have also been trained on singing. Interestingly, the best results on the OGI speech corpus are also obtained when acoustic models trained on singing are used

Retrieval of textual song lyrics from sung inputs

Retrieving the lyrics of a sung recording from a database of text documents is a research topic that has not received attention so far. Such a retrieval system has many practical applications, e.g. for karaoke applications or for indexing large song databases by their lyric content. In this paper, we present such a lyrics retrieval system. In a first step, phoneme posteriorgrams are extracted from sung recordings using various acoustic models trained on TIMIT and a variation thereof, and on subsets of a large database of recordings of unaccompanied singing (DAMP). On the other side, we generate binary templates from the available textual lyrics. Since these lyrics do not have any temporal information, we then employ an approach based on Dynamic Time Warping to retrieve the most likely lyrics document for each recording. The approach is tested on a different subset of the unaccompanied singing database which includes 601 recordings of 301 different songs (12000 lines of lyrics). The approach is evaluated both on a song-wise and on a line-wise scale. The results are highly encouraging and could be used further to perform automatic lyrics alignment and keyword spotting for large databases of songs

Training phoneme models for singing with "songified" speech data

Speech recognition in singing is a task that has not been widely researched so far. Singing possesses several characteristics that differentiate it from speech. Therefore, algorithms and models that were developed for speech usually perform worse on singing. One of the bottlenecks in many algorithms is the recognition of phonemes in singing. We noticed that this recognition step can be improved when using singing data in model training, but to our knowledge, there are no large datasets of singing data annotated with phonemes. However, such data does exist for speech. We therefore propose to make phoneme recognition models more robust for singing by training them on speech data that has artificially been made more “song-like”. We test two main modifications on speech data: Time stretching and pitch shifting. Artificial vibrato is also tested. We then evaluate models trained on different combinations of these modified speech recordings. The utilized modeling algorithms are Neural Networks and Deep Belief Networks

Language history and culture groups among Austroasiatic-speaking foragers of the Malay Peninsula

The Malay Peninsula is a crossroads for people, languages and cultural influences, apparent in today's vibrant mix of Malay, Chinese, Indian, Thai and European. Yet this modern state of affairs all but conceals signals of much older situations of diversity. Thus, some 140,000 people grouped together under the label Orang Asli (Malay for 'aboriginal people') represent a range of cultural and biological adaptations and linguistic diversifications with roots far back in prehistory. These 20-plus ethnolinguistic groups represent a unique and vanishing window on the history of human diversity in the region, and they offer intriguing examples relevant to more general issues of the dynamics of human societies. By synthesising the current ethnographic, linguistic and genetic body of knowledge about these groups with our own quantitative analyses of new lexical data from 27 language varieties, we explore the local historical relationships and interaction between languages and cultures. Specifically, we look at the relationship between a particular subsistence mode, namely nomadic foraging, and the Aslian branch of the Austroasiatic language stock. While foraging has been considered in many previous accounts to have a historically close connection to one particular sub branch of Aslian (Northern Aslian), we highlight several mismatches in this correlation and take a step toward disentangling a complex picture of linguistic history and contact