How did democracy became entrenched in the world's largest Muslim-majority country? After the fall of its authoritarian regime in 1998, Indonesia pursued an unusual course of democratization. It was ...insider-dominated and gradualist and it involved free elections before a lengthy process of constitutional reform. At the end of the process, Indonesia's amended constitution was essentially a new and thoroughly democratic document. By proceeding as they did, the Indonesians averted the conflict that would have arisen between adherents of the old constitution and proponents of radical, immediate reform. Donald L. Horowitz documents the decisions that gave rise to this distinctive constitutional process. He then traces the effects of the new institutions on Indonesian politics and discusses their shortcomings and their achievements in steering Indonesia away from the dangers of polarization and violence. He also examines the Indonesian story in the context of comparative experience with constitutional design and intergroup conflict.
Introduction
Suicide is an international public health problem and a leading cause of death for youth and adults, worldwide. Prevention efforts in health care systems create opportunities for ...identifying medical patients with occult suicidality. Detecting suicide risk among patients in medical settings can be a challenge, but successful suicide risk screening programs have been demonstrated in hospital settings.
Objectives
This presentation will discuss how a suicide risk screening tool that was developed for the pediatric emergency department was tested and then implemented in other medical settings in order to leverage healthcare providers as partners in combating the public health crisis of youth suicide..
Methods
Implementation and quality improvement projects in various medical settings that have adapted the ASQ will be described. Effective management of pediatric patients that screen positive for suicide risk and how mental health clinicians can best be utilized in efficient ways will also be discussed.
Results
Average time to administer the ASQ was 20 seconds. Positive screen rates across ED, inpatient and outpatient settings ranging from 2-14% equating to one additional psychiatric consultation per week. The ASQ Toolkit was developed to help medical providers implement screening including scripts for nurses, flyers for parents and a brief suicide safety assessment (ASQ BSSA) to operationalize next steps for patients at risk.
Conclusions
The medical setting is a key venue for youth suicide risk detection and linking patients with effective interventions. Mental health clinicians have a role in guiding non-mental health providers in the identification and management of patients found to be at risk.
Disclosure
No significant relationships.
Research on the prevention of depressive symptoms in children and adolescents was reviewed and synthesized with meta-analysis. When all 30 studies were included, selective prevention programs were ...found to be more effective than universal programs immediately following intervention. Both selective and indicated prevention programs were more effective than universal programs at follow-up, even when the 2 studies with college students were excluded. Effect sizes for selective and indicated prevention programs tended to be small to moderate, both immediately postintervention and at an average follow-up of 6 months. Most effective interventions are more accurately described as treatment rather than prevention. Suggestions for future research include testing potential moderators (e.g., age, gender, anxiety, parental depression) and mechanisms, designing programs that are developmentally appropriate and gender and culturally sensitive, including longer follow-ups, and using multiple measures and methods to assess both symptoms and diagnoses.
In functional linear regression, the slope "parameter" is a function. Therefore, in a nonparametric context, it is determined by an infinite number of unknowns. Its estimation involves solving an ...ill-posed problem and has points of contact with a range of methodologies, including statistical smoothing and deconvolution. The standard approach to estimating the slope function is based explicitly on functional principal components analysis and, consequently, on spectral decomposition in terms of eigenvalues and eigen-functions. We discuss this approach in detail and show that in certain circumstances, optimal convergence rates are achieved by the PCA technique. An alternative approach based on quadratic regularisation is suggested and shown to have advantages from some points of view.
The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) consists of a series of time slice experiments targeting the long-term changes in atmospheric composition between 1850 and ...2100, with the goal of documenting composition changes and the associated radiative forcing. In this overview paper, we introduce the ACCMIP activity, the various simulations performed (with a requested set of 14) and the associated model output. The 16 ACCMIP models have a wide range of horizontal and vertical resolutions, vertical extent, chemistry schemes and interaction with radiation and clouds. While anthropogenic and biomass burning emissions were specified for all time slices in the ACCMIP protocol, it is found that the natural emissions are responsible for a significant range across models, mostly in the case of ozone precursors. The analysis of selected present-day climate diagnostics (precipitation, temperature, specific humidity and zonal wind) reveals biases consistent with state-of-the-art climate models. The model-to- model comparison of changes in temperature, specific humidity and zonal wind between 1850 and 2000 and between 2000 and 2100 indicates mostly consistent results. However, models that are clear outliers are different enough from the other models to significantly affect their simulation of atmospheric chemistry.
Present approaches to assess cancer treatments are often inaccurate, costly, and/or cumbersome. Functional testing platforms that use live tumor cells are a promising tool both for drug development ...and for identifying the optimal therapy for a given patient, i.e. precision oncology. However, current methods that utilize patient-derived cells from dissociated tissue typically lack the microenvironment of the tumor tissue and/or cannot inform on a timescale rapid enough to guide decisions for patient-specific therapy. We have developed a microfluidic platform that allows for multiplexed drug testing of intact tumor slices cultured on a porous membrane. The device is digitally-manufactured in a biocompatible thermoplastic by laser-cutting and solvent bonding. Here we describe the fabrication process in detail, we characterize the fluidic performance of the device, and demonstrate on-device drug-response testing with tumor slices from xenografts and from a patient colorectal tumor.
We study the asymptotic properties of bridge estimators in sparse, high-dimensional, linear regression models when the number of covariates may increase to infinity with the sample size. We are ...particularly interested in the use of bridge estimators to distinguish between covariates whose coefficients are zero and covariates whose coefficients are nonzero. We show that under appropriate conditions, bridge estimators correctly select covariates with nonzero coefficients with probability converging to one and that the estimators of nonzero coefficients have the same asymptotic distribution that they would have if the zero coefficients were known in advance. Thus, bridge estimators have an oracle property in the sense of Fan and Li J. Amer. Statist. Assoc. 96 (2001) 1348-1360 and Fan and Peng Ann. Statist. 32 (2004) 928-961. In general, the oracle property holds only if the number of covariates is smaller than the sample size. However, under a partial orthogonality condition in which the covariates of the zero coefficients are uncorrelated or weakly correlated with the covariates of nonzero coefficients, we show that marginal bridge estimators can correctly distinguish between covariates with nonzero and zero coefficients with probability converging to one even when the number of covariates is greater than the sample size.
PDF
