Exploring sexualized substance use, sexual behaviors and HIV-screening practices in people attending erotic industry shows.

Previous studies showed that Erotic industry sShows (ES) were appropriate events for sexual health promotion and testing interventions. A cross-sectional survey exploring screening practices, sexual behaviors, substance use, and sexual motives for substance use was conducted in ES in December 2017 and completed by 781 respondents. Overall, . Eighteen18% percent reported substance use in the last 3 months (51% alcohol), 26%. Twenty-six percent reported a sexual purpose for substance use. Main sexual partners were spouse (68%), regular (21%), unknown (18%) and several (17%) partners. Main sexual practices were libertinism (22%), partner swapping (15%) and threesome (15%). Twenty-seven percent of respondents reported cContactless sex was reported by 27% of the respondents. 18% reported no previous HIV test. Univariate analysis showed that having or not previous HIV test was linked to male sex (76.8% vs. 54.5%, p < 10-3), alcohol consumption in the last three months (58.7% vs. 49.4%, p = .043), number of drugs in a lifetime (1.3% vs. 1.6%, p = .022), sexual partnership with spouse/long-term partner (57.3% vs. 70.5%; p = .002), at least one multiple-partner sexual practice (23.1% vs. 31.8%, p = .040) and type of sexual attraction (p = <10-3). Results contribute to establishing the usefulness of HIV-testing and awareness campaigns in ES eventsand informing potential combined risk behaviors and related interventions.

Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning.

Free-electron lasers providing ultra-short high-brightness pulses of X-ray radiation have great potential for a wide impact on science, and are a critical element for unravelling the structural dynamics of matter. To fully harness this potential, we must accurately know the X-ray properties: intensity, spectrum and temporal profile. Owing to the inherent fluctuations in free-electron lasers, this mandates a full characterization of the properties for each and every pulse. While diagnostics of these properties exist, they are often invasive and many cannot operate at a high-repetition rate. Here, we present a technique for circumventing this limitation. Employing a machine learning strategy, we can accurately predict X-ray properties for every shot using only parameters that are easily recorded at high-repetition rate, by training a model on a small set of fully diagnosed pulses. This opens the door to fully realizing the promise of next-generation high-repetition rate X-ray lasers.

[Cardiovascular effects linked to the use of chloroquine]. / Les effets cardiovasculaires liés à l'utilisation de la chloroquine.

The chloroquine is the mainly and most frequently drug used as antimalaric in the world, in spite of the extension of resistance phenomena. Besides, the chloroquine is also commonly indicated in rheumatology and dermatology as a chronic treatment of some connective tissue disease. The chloroquine has three main cardiovascular effect: membrane stabilizer, direct negative inotropic effect and direct arterial vasodilator. Thus, these cardiovascular iatrogenic effects of the chloroquine are important both through their potential frequency and seriousness. Personal clinical cases and medical review enables to identify the main effects, observed either with prophylactic, or curative, or even toxic dosages. The more often, there are some rhythm and conductance disorders, myocardiopathy, even sometimes vasoplegic shocks. A list of the commercial patent medicine including chloroquine enables to be aware, to prevent and to take into account the cardiovascular risks of a treatment newly set or carried on for long years.