Efficient cross-validation of the complete two stages in KFD classifier formulation

This paper presents an efficient evaluation algorithm for cross-validating the two-stage approach of KFD classifiers. The proposed algorithm is of the same complexity level as the existing indirect efficient cross-validation methods but it is more reliable since it is direct and constitutes exact cross-validation for the KFD classifier formulation. Simulations demonstrate that the proposed algorithm is almost as fast as the existing fast indirect evaluation algorithm and the twostage cross-validation selects better models on most of the thirteen benchmark data sets.

Analysis of the stages of change model of drug and alcohol treatment readiness among prisoners

A classification and regression tree (CART) analysis was applied to data for 237 male participants (M = 31.93 years, SD = 7.64) in a prison-based substance abuse treatment program to study the integrity of the Stages of Change model of treatment readiness. Using the Stages of Change Questionnaire (STOCQ), participants were assigned to Contemplation (102), Action (118), or Maintenance (17) groups. A CART analysis then examined differences in the overall group profiles on the basis of scores on the Psychological Inventory of Criminal Thinking, the Situational Confidence Questionnaire, and the Carlson Psychological Survey. The assumption of discrete stages of change was not supported. Alternative models are suggested: one based on states of change and one on personality characteristics. A focus on equal attention to both cognitive and behavioral aspects of substance abuse treatment readiness is suggested.

Foreign direct investment and the stages of sector diversification

Foreign direct investment (FDI), when considered homogenous, has case-specific result on sector diversification. However, FDI when disaggregated by its type, market-seeking FDI diversifies developed countries, while efficiency-seeking FDI diversifies developing countries, particularly in the manufacturing sector. Flexible labour markets and well-established financial markets also play important role in this context.

Analysis of strengthening in AA6111 during the early stages of aging: atom probe tomography and yield stress modelling

In this work, a series of aging treatments has been conducted on AA6111 alloy samples for various times at ambient temperature (so-called natural aging) and at temperatures between 60 and 180 °C (artificially aged). The time at artificial ageing was chosen such that samples with approximately the same yield stress were produced. The microstructures of these alloy samples have been carefully characterized using atom probe tomography together with advanced cluster-finding techniques in order to obtain quantitative information about the changes in distribution of both the solute clusters and early-stage precipitates that are formed. The size distribution of clusters has been mapped onto the glide plane and then the stress necessary for a dislocation to pass through the range of obstacles has been estimated using an areal glide model where the dislocation–obstacle interaction strength has been assumed to be related to the obstacle size on the glide plane. It is demonstrated that the contribution of cluster strengthening during artificial aging at higher temperatures is dominated by the high number density of small clusters (Guinier radius <1 nm), whereas the situation during room temperature natural aging is more complex.

Stress, inflammation, and cellular vulnerability during early stages of affective disorders: biomarker strategies and opportunities for prevention and intervention

The mood disorder prodrome is conceptualized as a symptomatic, but not yet clinically diagnosable stage of an affective disorder. Although a growing area, more focused research is needed in the pediatric population to better characterize psychopathological symptoms and biological markers that can reliably identify this very early stage in the evolution of mood disorder pathology. Such information will facilitate early prevention and intervention, which has the potential to affect a person’s disease course.This review focuses on the prodromal characteristics, risk factors, and neurobiological mechanisms of mood disorders. In particular, we consider the influence of early-life stress, inflammation, and allostatic load in mediating neural mechanisms of neuroprogression. These inherently modifiable factors have known neuroadaptive and neurodegenerative implications, and consequently may provide useful biomarker targets. Identification of these factors early in the course of the disease will accordingly allow for the introduction of early interventions which augment an individual’s capacity for psychological resilience through maintenance of synaptic integrity and cellular resilience. A targeted and complementary approach to boosting both psychological and physiological resilience simultaneously during the prodromal stage of mood disorder pathology has the greatest promise for optimizing the neurodevelopmental potential of those individuals at risk of disabling mood disorders.