Correlated outcomes of a pilot intervention for people injecting drugs and their family members in Vietnam.

BackgroundThe interrelationship between the well-being of injecting drug users (IDUs) and their family environment has been widely documented. However, few intervention programs have addressed the needs of both IDUs and their family members.MethodsThis study describes a randomized intervention pilot targeting 83 IDUs and 83 of their family members from four communes in Phú Thọ province, Vietnam. The IDUs and family members in the intervention condition received multiple group sessions, with the intent to improve psychological well-being and family relationships. The intervention outcomes (depressive symptoms and family relations) were evaluated at baseline, 3-month and 6-month follow-up assessments.ResultsDepressive symptoms and family relations reported by IDUs were found to be correlated to those reported by their family members. Overall, significant intervention effects on depressive symptoms and family relations were observed for both IDUs and family members. A similar improvement pattern in family relations emerged for both the IDU and family member samples, although the intervention effect of reducing depressive symptoms was more sustainable for family members at the 6-month assessment when compared to the IDU sample.ConclusionThe intervention pilot addressed challenges faced by IDUs and their family members and revealed correlated outcomes for the two groups. Findings suggest a vital need to include family members in future drug prevention and harm reduction intervention efforts

Symmetry, quantitative Liouville theorems and analysis of large solutions of conformally invariant fully nonlinear elliptic equations

We establish blow-up profiles for any blowing-up sequence of solutions of general conformally invariant fully nonlinear elliptic equations on Euclidean domains. We prove that (i) the distance between blow-up points is bounded from below by a universal positive number, (ii) the solutions are very close to a single standard bubble in a universal positive distance around each blow-up point, and (iii) the heights of these bubbles are comparable by a universal factor. As an application of this result, we establish a quantitative Liouville theorem

Commune Health Workers' Methadone Maintenance Treatment (MMT) Knowledge and Perceived Difficulties Providing Decentralized MMT Services in Vietnam.

BackgroundWith the initial establishment of countrywide methadone maintenance therapy (MMT) system, Vietnam is in the process of expanding and decentralizing the MMT program to community-based healthcare settings.ObjectiveThe study aimed to measure the MMT-related knowledge and perceived difficulties in treating patient who use drugs (PWUD) among community-based healthcare providers, e.g., commune health workers (CHW), and examine its correlated factors.MethodsA total of 300 CHW from 60 communes in two provinces of Vietnam completed a survey using Audio Computer-Assisted Self-Interview (ACASI) method. Twelve true-or-false questions were used to assess the CHW's MMT-related knowledge. The CHW's background characteristics and perceived difficulties treating PWUD were recorded.ResultsThe mean MMT knowledge score was 8.2 (SD = 1.2; range: 5-11). Misconceptions toward the benefits, procedure, and side effects of MMT were prevalent. The participants perceived varying degrees of difficulties in recruiting, engaging, and communicating with PWUD. With all covariates holding constant, younger age (standardized ẞ = -0.166; p = 0.0078) was associated with less MMT-related knowledge. Number of PWUD seen in a month and MMT-related knowledge was associated with less perceived difficulties treating PWUD. Conclusions/importance: The finding shed lights on the CHW's knowledge gap, which need to be addressed to facilitate the decentralization of MMT services in Vietnam. In preparation for a decentralized MMT service delivery model, specially designed training is warranted to equip CHW with knowledge and confidence to provide MMT-related services to PWUD

Lazy stochastic principal component analysis

Stochastic principal component analysis (SPCA) has become a popular dimensionality reduction strategy for large, high-dimensional datasets. We derive a simplified algorithm, called Lazy SPCA, which has reduced computational complexity and is better suited for large-scale distributed computation. We prove that SPCA and Lazy SPCA find the same approximations to the principal subspace, and that the pairwise distances between samples in the lower-dimensional space is invariant to whether SPCA is executed lazily or not. Empirical studies find downstream predictive performance to be identical for both methods, and superior to random projections, across a range of predictive models (linear regression, logistic lasso, and random forests). In our largest experiment with 4.6 million samples, Lazy SPCA reduced 43.7 hours of computation to 9.9 hours. Overall, Lazy SPCA relies exclusively on matrix multiplications, besides an operation on a small square matrix whose size depends only on the target dimensionality.Comment: To be published in: 2017 IEEE International Conference on Data Mining Workshops (ICDMW

A degree theory for second order nonlinear elliptic operators with nonlinear oblique boundary conditions

In this paper we introduce an integer-valued degree for second order fully nonlinear elliptic operators with nonlinear oblique boundary conditions. We also give some applications to the existence of solutions of certain nonlinear elliptic equations arising from a Yamabe problem with boundary and reflector problems