21 resultados para unregistered laborer


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In Amci Pty Ltd ACN 124 249 485 v Corcoal Management Pty Ltd [2013] QSC 50 Jackson J considered an application for an order under r117 of the Uniform Civil Procedure Rules 1999 (Qld) (UCPR) in relation to informal service of an originating process on a corporation registered in the Ajman Free Zone in the United Arab Emirates. The decision appears to be the first time a Queensland court has examined the scope of r117 of the UCPR, and relevant considerations influencing the exercise of the discretion under the rule, when the defendant is outside Australia.

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Risks for HIV infection remain unknown in male street laborers. This research investigates patterns of self-reported risk behaviors among these men in urban Vietnam. In a cross-sectional survey using a social mapping technique, 450 men, mostly low-skilled and unregistered migrant laborers across 13 districts in Hanoi were approached for interviews. The study revealed that male street laborers were at high risk of acquiring and transmitting HIV. One in every 12 men reported homosexual or bisexual behavior. These men on average had three sexual partners within the preceding year, and condom use was inconsistent. Close to 95 % of the men had reported sexual encounters with regular partners. One-third with commercial sex workers (CSW) and 24.2 % with casual partners, but just under one-third had ever used condoms with regular partners and CSWs and very few (17.6 %) with casual partners at their last sexual encounter. 17.11 % used illicit drugs sometimes, with 66.7 % of them frequently sharing injecting equipment with peers. These men had limited HIV knowledge; 51.4 % incorrectly believed that, once you trust your partner, you no longer need to use condoms and 42.4 % believed that you can tell by looking at someone if they have HIV. Access to HIV prevention was also limited; only 19.8 % of men had been tested for HIV during the previous 12 months, almost 10 % of whom neither returned for the result nor knew their HIV status. The study provides interesting directions for future research and suggests ways to effectively design prevention strategies for these men.

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Background The application of theoretical frameworks for modeling predictors of drug risk among male street laborers remains limited. The objective of this study was to test a modified version of the IMB (Information-Motivation-Behavioral Skills Model), which includes psychosocial stress, and compare this modified version with the original IMB model in terms of goodness-of-fit to predict risky drug use behavior among this population. Methods In a cross-sectional study, social mapping technique was conducted to recruit 450 male street laborers from 135 street venues across 13 districts of Hanoi city, Vietnam, for face-to-face interviews. Structural equation modeling (SEM) was used to analyze data from interviews. Results Overall measures of fit via SEM indicated that the original IMB model provided a better fit to the data than the modified version. Although the former model was able to predict a lesser variance than the latter (55% vs. 62%), it was of better fit. The findings suggest that men who are better informed and motivated for HIV prevention are more likely to report higher behavioral skills, which, in turn, are less likely to be engaged in risky drug use behavior. Conclusions This was the first application of the modified IMB model for drug use in men who were unskilled, unregistered laborers in urban settings. An AIDS prevention program for these men should not only distribute information and enhance motivations for HIV prevention, but consider interventions that could improve self-efficacy for preventing HIV infection. Future public health research and action may also consider broader factors such as structural social capital and social policy to alter the conditions that drive risky drug use among these men.

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The location of previously unseen and unregistered individuals in complex camera networks from semantic descriptions is a time consuming and often inaccurate process carried out by human operators, or security staff on the ground. To promote the development and evaluation of automated semantic description based localisation systems, we present a new, publicly available, unconstrained 110 sequence database, collected from 6 stationary cameras. Each sequence contains detailed semantic information for a single search subject who appears in the clip (gender, age, height, build, hair and skin colour, clothing type, texture and colour), and between 21 and 290 frames for each clip are annotated with the target subject location (over 11,000 frames are annotated in total). A novel approach for localising a person given a semantic query is also proposed and demonstrated on this database. The proposed approach incorporates clothing colour and type (for clothing worn below the waist), as well as height and build to detect people. A method to assess the quality of candidate regions, as well as a symmetry driven approach to aid in modelling clothing on the lower half of the body, is proposed within this approach. An evaluation on the proposed dataset shows that a relative improvement in localisation accuracy of up to 21 is achieved over the baseline technique.

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This study assessed the prevalence of and factors associated with HIV testing among male street laborers. In a cross-sectional survey, social mapping was done to recruit and interview 450 men aged 18–59 years in Hanoi. Although many of these men engaged in multiple risk behaviors for HIV, only 19.8 percent had been tested for HIV. A modified theoretical model provided better fit than the conventional Information–Motivation–Behavioral Skills model, as it explained much more variance in HIV testing. This model included three Information–Motivation–Behavioral components and four additional factors, namely, the origin of residence, sexual orientation, the number of sexual partners, and the status of condom use.

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This study examined the level, the prevalence of and the factors associated with depression among male casual laborers in Hanoi. Social mapping was done to recruit and interview 450 men aged over 18 years, mostly unskilled and unregistered laborers from 135 street venues across 13 districts of the city using a structured questionnaire. Most were from rural and mountainous provinces and did manual works such as motorbike taxi drivers, porters, construction workers, small traders and others in the current city. The prevalence of self-reported depressive symptoms (25 %) was high. Structural equation modeling showed that marriage, family separation and living with peers or partners were three significant distal risk factors, while illicit drug use and low social connectedness were proximal predictors of depression. Of all factors, social connectedness appeared to be the most important because it plays a mediating role. Drug use was an independent risk factor. This study provides a model to understand the mental health of male casual laborers and to develop culturally appropriate intervention programs for these men