4,864 research outputs found

    Family Related Factors and Concurrent Heroin Use in Methadone Maintenance Treatment in China.

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    BackgroundThe use of heroin during Methadone Maintenance Treatment (MMT) is a challenging problem that contributes to poor treatment outcomes. Families may play an important role in addressing concurrent heroin use during MMT, especially in collectivist societies such as China.ObjectivesIn this study, we explored the relationship between family-related factors and concurrent heroin use during MMT in China.MethodsThis study was conducted at 68 MMT clinics in five provinces of China. There were 2,446 MMT clients in the analysis. Demographic information, MMT dosage, family members' heroin use status, family support of MMT, family problem, and self-reported heroin use were collected in a cross-sectional survey. The most recent urinalysis of opiate use was obtained from clinical records.ResultsOf the 2,446 participants, 533 (21.79%) self-reported heroin use in the previous seven days or had a positive urine morphine test result in the clinic record. Participants whose family member[s] used heroin were 1.59 times (95% CI: 1.17, 2.15) more likely to use concurrently during treatment. Those with family members who totally support them on the MMT were less likely to use (AOR: 0.75, 95% CI: 0.60, 0.94). Having more family problems was positively associated with concurrent heroin use (AOR: 2.01, 95% CI: 1.03, 3.93).ConclusionsThe results highlight the importance of the family's role in concurrent heroin use during MMT programs. The study's findings may have implications for family-based interventions that address concurrent heroin use

    Group Invariant Deep Representations for Image Instance Retrieval

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    Most image instance retrieval pipelines are based on comparison of vectors known as global image descriptors between a query image and the database images. Due to their success in large scale image classification, representations extracted from Convolutional Neural Networks (CNN) are quickly gaining ground on Fisher Vectors (FVs) as state-of-the-art global descriptors for image instance retrieval. While CNN-based descriptors are generally remarked for good retrieval performance at lower bitrates, they nevertheless present a number of drawbacks including the lack of robustness to common object transformations such as rotations compared with their interest point based FV counterparts. In this paper, we propose a method for computing invariant global descriptors from CNNs. Our method implements a recently proposed mathematical theory for invariance in a sensory cortex modeled as a feedforward neural network. The resulting global descriptors can be made invariant to multiple arbitrary transformation groups while retaining good discriminativeness. Based on a thorough empirical evaluation using several publicly available datasets, we show that our method is able to significantly and consistently improve retrieval results every time a new type of invariance is incorporated. We also show that our method which has few parameters is not prone to overfitting: improvements generalize well across datasets with different properties with regard to invariances. Finally, we show that our descriptors are able to compare favourably to other state-of-the-art compact descriptors in similar bitranges, exceeding the highest retrieval results reported in the literature on some datasets. A dedicated dimensionality reduction step --quantization or hashing-- may be able to further improve the competitiveness of the descriptors

    Living High in the Sky: Modelling Prehistoric High Altitude Camps in the Great Basin

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    Historically, high altitude camps were not given careful attention by archaeologists due to what was considered an extreme and barren landscape. This poster examines the material culture of Native Americans that were utilizing these high alpine environments through archaeological evidence and ethnographic information along with their change through time from the Middle Archaic (5,000-1,000 B.C.) to the Late Archaic period (1,000 B.C. to A.D. 500.) in the Great Basin. Along with using the Lewis Binford hunter-gatherer database models which can aid in environmental variables such as the potential of plant biomass productivity and makes ethnographically informed estimates of resource strategies for different elevations from known hunter-gathering groups. This can give us insight into what types of subsistence patterns a group might have been utilizing in this region

    The Socialisation and Interaction in the Volunteer Experience

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    Volunteering experience is believed to provide the potential for the socialisation and interaction of the participants. By means of observations, focus group and interviews, the research attempts to analyse the volunteering process and attitude shifts in relation to volunteering. Findings of the research confirm that apart from helping the destinations, volunteers develop their personalities and attitudes towards life during their journey of helping children in rural China. A wide range of interactions and socialisation opportunities take place before, during, and after volunteering. Volunteers benefit in the confirmation of self-value, interaction, learning and socialisation. The research concludes that volunteering makes notable contribution to youth development and poverty alleviation
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