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Pathological gambling subtypes: A comparison of treatment-seeking and non-treatment-seeking samples from Brazil and Canada
Background: Pathological gambling (PG) is a heterogeneous disorder. The identification and characterization of PG subtypes could lead to tailored treatment approaches, which may, in turn, improve treatment outcomes. Objective: To investigate PG subtypes based on personality traits across two different cultural and clinical settings. Consistent with the Pathways Model, we hypothesized the presence of three subtypes (behaviorally conditioned â BC, emotionally vulnerable â EV, and antisocial impulsivist â AI). Methods: 140 PG adults from SĂŁo Paulo, Brazil (SP sample) and 352 adults with PG (n = 214) or sub-clinical PG (n = 138) from Toronto, Canada (TO sample) completed the Temperament and Character Inventory (TCI). Latent-class analysis was used to investigate subtypes. Results: A 2-class solution was the best model for the pooled SP and TO samples. Class 1 presented a normative personality profile and was composed exclusively of participants from Toronto (BC subtype). Class 2 was characterized by high novelty seeking, high harm avoidance, and low self-directedness, and included participants from both SP and TO (EV subtype). When sub-clinical PGs were excluded from the analysis, a single-class solution better characterized the SP and TO samples. Conclusions: Our results suggest that PG severity, rather than community or clinical settings, may have an effect on PG subtypes. The generalizability of the results is limited by the demographic and clinical features of the selected samples. Future neurobiological studies may contribute to the categorization of subjects into PG subtypes based on different underlying biological pathways
VULNERABILIDADE FĂSICA DO SOLO NA SERRA DO TEPEQUĂM-RR: ANĂLISE DA ATIVIDADE EROSIVA LINEAR
A serra do TepequĂ©m foi palco de intensa atividade garimpeira diamantĂfera que ao longo das Ășltimas dĂ©cadas tem contribuĂdo com o processo erosivo revelado atravĂ©s de feiçÔes lineares. AlĂ©m da influĂȘncia antrĂłpica, a vulnerabilidade fĂsica, quĂmica e mineralĂłgica dos solos foi determinante na formação e evolução das voçorocas. O objetivo do estudo foi identificar e descrever os principais fatores de vulnerabilidade fĂsica, quĂmica e mineralĂłgica do solo envolvidos no processo erosivo
Performance of soybean seedlings upon nutrient application by seed coating
The aim of this study was to evaluate the effect of different seed coatings consisting of various combinations of three nutrients (calcium, magnesium and silicon) on two soybean cultivars (BRS 243 RR and CD 233 RR). Dolomitic limestone and aluminum silicate were chosen as the nutrient sources. Leaf area, plant height, shoots dry matter, crop growth rate, relative growth rate and net assimilation rate were the studied variables, evincing that the seed coating that comprised calcium, magnesium and silicon led to better performance in terms of growth rates 30 days after emergence. Significant differences in the response to the seed coatings were also observed between the two studied soybean genotypes
Quasi Free 238U (e,e'f)-Cross Section in Macroscopic-Microscopic Approach
We present the result of a theoretical study of inclusive quasi free
electrofission of U. The off-shell cross sections for the quasi free
reaction stage have been calculated within the Plane Wave Impulse Approximation
(PWIA), using a Macroscopic -Microscopic description of the proton and neutron
single particle momentum distributions. Electron wave function distortion
corrections were included using the effective momentum approximation, and the
Final State Interaction (FSI) effects were calculated using an optical
potential. The fissility for the proton single hole excited states of the
residual nucleus Pa was calculated both without and with contributions
of the pre-equilibrium emission of the particles. The fissility for
residual nuclei was calculated within the compound nucleus model.
The cross sections thus obtained were compared with available
experimental data.Comment: 26 pages, 7 figure
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