Impact of stress and mitigating information on evaluations, attributions, affect, disciplinary choices, and expectations of compliance in mothers at high and low risk for child physical abuse

The objective is to know if high-risk mothers for child physical abuse differ in their evaluations, attributions, negative affect, disciplinary choices for children's behavior, and expectations of compliance. The effect of a stressor and the introduction of mitigating information are analyzed. Forty-seven high-risk and 48 matched low-risk mothers participated in the study. Mothers' information processing and disciplinary choices were examined using six vignettes depicting a child engaging in different transgressions. A four-factor design with repeated measures on the last two factors was used. High-risk mothers reported more hostile intent, global and internal attributions, more use of power assertion discipline, and less induction. A risk group by child transgression interaction and a risk group by mitigating information interaction were found. Results support the social information-processing model of child physical abuse, which suggests that high-risk mothers process child-related information differently and use more power assertive and less inductive disciplinary techniques.     

STR data for nine Y-chromosomal loci in Guinea Equatorial (central Africa)

Allele and haplotype frequencies for nine Y-specific STR loci (DYS19, DYS389-I, DYS389-II, DYS390, DYS391, DYS393, DYS434, DYS437, and DYS439) were obtained from a sample of 57 males from Guinea Equatorial.     

Federal Deficits, Debt and Interest Costs

Current federal government deficits are of a size unprecedented since World War II. While budget surpluses have been infrequent, deficits before 1982 were small enough that the federal debt shrunk in relation to the size of the economy. Now, however, the federal deficit is stuck at about 5 percent of gross national product, and the ratio of federal debt to gross national product (GNP) is growing rapidly. These large deficits are driving up interest rates, hurting American exports, turning the United States into a debtor nation, and causing government interest outlays to spiral. The possibilities are limited for lowering interest costs through directly reducing interest rates or introducing new Treasury debt management strategies. The only way to cage the interest monster is to enact a substantial package of tax increases and cuts in noninterest spending. We list some possible elements of such a package and show how they might be combined to tame the growth of debt.     

Drinking behavior,drinking attitudes,and attachment relationship of adolescents

In this article the connection between the drinking behavior and drinking attitudes of adolescents in relation to their attachment relationship with their parents is examined. The Family Episode Rating Task (FERT) was used, which was developed to measure the attachment relationship; it measures four patterns of parent-adolescent attachment. An Alcohol Questionnaire was used to measure the quantity and frequency of alcohol use, the amount of problem drinking, and the drinking attitudes of adolescents. It was hypothesized that anxiously attached adolescents have a greater risk of developing damaging drinking habits. One hundred sixty-one adolescents participated, all of them students in Grades 7, 9, and 11 of a high school. By means of an analysis of variance it was demonstrated that the Attitude scale's drinking to facilitate social contact was significantly related to the quality of the attachment relationship with the parents: this reason for drinking was mentioned most frequently among adolescents who were anxiously attached.Received Ph.D. at the same university. Currently studying psychological aspects of excessive alcohol intake.Received Ph.D. at the Catholic University, Nijmegen. Currently involved in stress management training.     

Optimization of the separation of organic explosives by capillary electrophoresis with artificial neural networks

The separation of 12 explosives by capillary electrophoresis was optimized with the aid of artificial neural networks (ANNs). The selectivity of the separation was manipulated by varying the concentration of sodium dodecyl sulfate (SDS) and the pH of the electrolyte, while maintaining the buffer concentration at 10 mM borate. The concentration of SDS and the electrolyte pH were used as input variables and the mobility of the explosives were used as output variables for the ANN. In total, eight experiments were performed based on a factorial design to train a variety of artificial neural network architectures. A further three experiments were required to train ANN architectures to adequately model the experimental space. A product resolution response surface was constructed based on the predicted mobilities of the best performing ANN. This response surface pointed to two optima; pH 9.0-9.1 and 60-65 mM SDS, and pH 8.4-8.6 and 50-60 mM SDS. Separation of all 12 explosives was achieved at the second optimum. The separation was further improved by changing the capillary to an extended cell detection window and reducing the diameter of the capillary from 75 microm to 50 microm. This provided a more efficient separation without compromising detection sensitivity.