On the moderators of trait avoidance motivation in predicting cognitive biases and adjustment

The present research focused on motivational and personality traits measuring individual differences in the experience of negative affect, in reactivity to negative events, and in the tendency to avoid threats. In this thesis, such traits (i.e., neuroticism and dispositional avoidance motivation) are jointly referred to as trait avoidance motivation. The seven studies presented here examined the moderators of such traits in predicting risk judgments, negatively biased processing, and adjustment. Given that trait avoidance motivation encompasses reactivity to negative events and tendency to avoid threats, it can be considered surprising that this trait does not seem to be related to risk judgments and that it seems to be inconsistently related to negatively biased information processing. Previous work thus suggests that some variable(s) moderate these relations. Furthermore, recent research has suggested that despite the close connection between trait avoidance motivation and (mal)adjustment, measures of cognitive performance may moderate this connection. However, it is unclear whether this moderation is due to different response processes between individuals with different cognitive tendencies or abilities, or to the genuinely buffering effect of high cognitive ability against the negative consequences of high trait avoidance motivation. Studies 1-3 showed that there is a modest direct relation between trait avoidance motivation and risk judgments, but studies 2-3 demonstrated that state motivation moderates this relation. In particular, individuals in an avoidance state made high risk judgments regardless of their level of trait avoidance motivation. This result explained the disparity between the theoretical conceptualization of avoidance motivation and the results of previous studies suggesting that the relation between trait avoidance motivation and risk judgments is weak or nonexistent. Studies 5-6 examined threat identification tendency as a moderator for the relationship between trait avoidance motivation and negatively biased processing. However, no evidence for such moderation was found. Furthermore, in line with previous work, the results of studies 5-6 suggested that trait avoidance motivation is inconsistently related to negatively biased processing, implying that theories concerning traits and information processing may need refining. Study 7 examined cognitive ability as a moderator for the relation between trait avoidance motivation and adjustment, and demonstrated that cognitive ability moderates the relation between trait avoidance motivation and indicators of both self-reported and objectively measured adjustment. Thus, the results of Study 7 supported the buffer explanation for the moderating influence of cognitive performance. To summarize, the results showed that it is possible to find factors that consistently moderate the relations between traits and important outcomes (e.g. adjustment). Identifying such factors and studying their interplay with traits is one of the most important goals of current personality research. The present thesis contributed to this line of work in relation to trait avoidance motivation.

Automatic Lameness Detection in a Milking Robot : Instrumentation, measurement software, algorithms for data analysis and a neural network model

The aim of this thesis is to develop a fully automatic lameness detection system that operates in a milking robot. The instrumentation, measurement software, algorithms for data analysis and a neural network model for lameness detection were developed. Automatic milking has become a common practice in dairy husbandry, and in the year 2006 about 4000 farms worldwide used over 6000 milking robots. There is a worldwide movement with the objective of fully automating every process from feeding to milking. Increase in automation is a consequence of increasing farm sizes, the demand for more efficient production and the growth of labour costs. As the level of automation increases, the time that the cattle keeper uses for monitoring animals often decreases. This has created a need for systems for automatically monitoring the health of farm animals. The popularity of milking robots also offers a new and unique possibility to monitor animals in a single confined space up to four times daily. Lameness is a crucial welfare issue in the modern dairy industry. Limb disorders cause serious welfare, health and economic problems especially in loose housing of cattle. Lameness causes losses in milk production and leads to early culling of animals. These costs could be reduced with early identification and treatment. At present, only a few methods for automatically detecting lameness have been developed, and the most common methods used for lameness detection and assessment are various visual locomotion scoring systems. The problem with locomotion scoring is that it needs experience to be conducted properly, it is labour intensive as an on-farm method and the results are subjective. A four balance system for measuring the leg load distribution of dairy cows during milking in order to detect lameness was developed and set up in the University of Helsinki Research farm Suitia. The leg weights of 73 cows were successfully recorded during almost 10,000 robotic milkings over a period of 5 months. The cows were locomotion scored weekly, and the lame cows were inspected clinically for hoof lesions. Unsuccessful measurements, caused by cows standing outside the balances, were removed from the data with a special algorithm, and the mean leg loads and the number of kicks during milking was calculated. In order to develop an expert system to automatically detect lameness cases, a model was needed. A probabilistic neural network (PNN) classifier model was chosen for the task. The data was divided in two parts and 5,074 measurements from 37 cows were used to train the model. The operation of the model was evaluated for its ability to detect lameness in the validating dataset, which had 4,868 measurements from 36 cows. The model was able to classify 96% of the measurements correctly as sound or lame cows, and 100% of the lameness cases in the validation data were identified. The number of measurements causing false alarms was 1.1%. The developed model has the potential to be used for on-farm decision support and can be used in a real-time lameness monitoring system.

Just say no? The influence of personal goals, beliefs, psychosocial adjustment, and parental relationships in drug use by adolescents

The study in its entirety focused on factors related to adolescents decisions concerning drug use. The term drug use is taken here to include the use of tobacco products, alcohol, narcotics, and other addictive substances. First, the reasons given for drug use (attributions) were investigated. Secondly, the influence of personal goals, the beliefs involved in decision making, psychosocial adjustment including body image and involvement with peers, and parental relationships on drug use were studied. Two cohorts participated in the study. In 1984, a questionnaire on reasons for drug use was administered to a sample of adolescents aged 14-16 (N=396). A further questionnaire was administered to another sample of adolescents aged 14-16 (N=488) in 1999. The results for both cohorts were analyzed in Articles I and II. In Articles III and IV further analysis was carried out on the second cohort (N=488). The research report presented here provides a synthesis of all four articles, together with material from a further analysis. In a comparison of the two cohorts it was found that the attributions for drug use had changed considerably over the intervening fifteen-year period. In relation to alcohol and narcotics use an increase was found in reasons involving inner subjective experiences, with mention of the good feeling and fun resulting from alcohol and narcotics use. In addition, the goals of alcohol consumption were increasingly perceived as drinking to get drunk, and for its own sake. The attributions for the adolescents own smoking behavior were quite different from the attributions for smoking by others. The attributions were only weakly influenced by the participants gender or by their smoking habits, either in 1984 or 1999. In relation to participants own smoking, the later questionnaire elicited more mention of inner subjective experiences involving "good feeling. In relation to the perceived reasons for other people s smoking, it elicited more responses connected with the notion of "belonging. In the second sample, the results indicated that the levels of body satisfaction among adolescent girls are lower than those among adolescent boys. Overall, dissatisfaction with one's physical appearance seemed to relate to drug use. Girls were also found to engage in more discussions than boys; this applied to (i) discussion with peers (concerning both intimate and general matters), and (ii) discussion with parents (concerning general matters). However, more than a quarter of the boys (out of the entire population) reported only low intimacy with both parents and peers. If both drinking and smoking were considered, it seemed that girls in particular who reported drinking and smoking also reported high intimacy with parents and peers. Boys who reported drinking and smoking reported only medium intimacy with parents and peers. In addition, having an intimate relationship with one's peers was associated with a greater tendency to drink purely in order to get drunk. Overall, the results seemed to suggest that drug use is connected with a close relationship with peers and (surprisingly) with a close relationship with parents. Nevertheless, there were also indications that to some extent peer relationships can also protect adolescents from smoking and alcohol use. The results, which underline the complexity of adolescent drug use, are taken up in the Discussion section. It may be that body image and/or other identity factors play a more prominent role in all drug use than has previously been acknowledged. It does appear that in the course of planning support campaigns for adolescents at risk of drug use, we should focus more closely on individuals and their inner world. More research on this field is clearly needed, and therefore some ideas for future research are also presented.