Mind the Gap? : An Intensive Longitudinal Study of Between-Person and Within-Person Intention-Behavior Relations

Acknowledgments This work was supported by the University of Konstanz, Germany. The first author was supported by a fellowship of the Swiss National Science Foundation (Fellowship P2ZHP1_155103).Peer reviewedPostprin

Fluctuations in depression and well-being are associated with sexual risk episodes among HIV-positive men

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Initial elevation bias in subjective reports

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How is companionship related to romantic partners' affect, relationship satisfaction, and health behavior? Using a longitudinal dyadic score model to understand daily and couple‐level effects of a dyadic predictor

Companionship is related to better affect and relationship satisfaction, but few studies have examined both partners' perspectives over time and the link between companionship and health. In three intensive longitudinal studies (Study 1: 57 community couples; Study 2: 99 smoker–nonsmoker couples; Study 3: 83 dual-smoker couples), both partners reported daily companionship, affect, relationship satisfaction, and a health behavior (smoking in Studies 2 and 3). We proposed a dyadic score model that focuses on the couple level for companionship as a dyadic predictor with considerable shared variance. On days with higher companionship, couples reported better affect and relationship satisfaction. When partners differed in companionship, they also differed in affect and relationship satisfaction. For smoking, a different picture emerged: Whereas smokers with nonsmoking partners smoked less on average with higher companionship, smokers with smoking partners smoked more on days with higher companionship. Findings show companionship as a consequential relationship construct deserving further study. Using the dyadic score model acknowledged both partners' perspectives on companionship. It demonstrated higher precision for detecting effects of partner averages in a dyadic predictor compared with traditional approaches, tests for effects of partner differences in a dyadic predictor and in outcome while maintaining the focus on the dyad

How is companionship related to romantic partners' affect, relationship satisfaction, and health behavior? Using a longitudinal dyadic score model to understand daily and couple-level effects of a dyadic predictor

Companionship is related to better affect and relationship satisfaction, but few studies have examined both partners' perspectives over time and the link between companionship and health. In three intensive longitudinal studies (Study 1: 57 community couples; Study 2: 99 smoker-nonsmoker couples; Study 3: 83 dual-smoker couples), both partners reported daily companionship, affect, relationship satisfaction, and a health behavior (smoking in Studies 2 and 3). We proposed a dyadic score model that focuses on the couple level for companionship as a dyadic predictor with considerable shared variance. On days with higher companionship, couples reported better affect and relationship satisfaction. When partners differed in companionship, they also differed in affect and relationship satisfaction. For smoking, a different picture emerged: Whereas smokers with nonsmoking partners smoked less on average with higher companionship, smokers with smoking partners smoked more on days with higher companionship. Findings show companionship as a consequential relationship construct deserving further study. Using the dyadic score model acknowledged both partners' perspectives on companionship. It demonstrated higher precision for detecting effects of partner averages in a dyadic predictor compared with traditional approaches, tests for effects of partner differences in a dyadic predictor and in outcome while maintaining the focus on the dyad

USING BIRD STRIKE DATA TO MONITOR BIRD-HAZARD CONTROL

An effective definition of a bird strike is the basis for quantifying the scale of bird hazard problems. Here we present a working definition of a bird strike, which in turn forms the basis of an analysis of 32 years’ data collected at Dublin Airport, Ireland. A variety of datasets are analysed including the number of bird strikes per ten thousand aircraft movements, the mass of the bird species being struck, the time of year at which bird strikes occur and the dimensions of the aircraft utilising the airfield. In addition, we have analysed the mean number of strikes per year and the mean number of birds struck per bird strike. Following a very serious incident involving a Boeing 737-200 which struck a flock of gulls in the mid -1980’s, a new regime of control measures was put in place. Therefore our study permits us to evaluate the effectiveness of this management programme. The results suggest that the most significant impact of control measures is to reduce the number of birds being struck per bird strike

Exploring Instructors' Views on Fine-Tuned Generative AI Feedback in Higher Education

This paper explores the integration of Generative Artificial Intelligence (GenAI) feedback into higher education. Specifically, it examines the views of 11 experienced instructors on fine-tuned GenAI formative feedback of student works in an online graduate program in the United States. The participants assessed sample GenAI reviews, and their perspectives were recorded through a numerical questionnaire and an open-ended survey. The findings revealed positive views overall, pervasive across the AI feedback. Numerical survey results showed that the feedback was generally deemed relevant, clear, actionable, useful, and comprehensive. Open-ended responses supported these findings, suggesting that GenAI feedback aligned well with course rubrics and provided actionable suggestions. Nevertheless, some limitations were identified, such as redundancy and lengthy suggestions that could overwhelm students. The study concludes with suggestions for the improvement of fine-tuned GenAI feedback to improve its effectiveness and enhance higher education students’ learning experiences, especially in online settings

Could Work Be a Source of Behavioural Disorders? A Study in Horses

Stress at work, as shown by a number of human studies, may lead to a variety of negative and durable effects, such as impaired psychological functioning (anxiety, depression…). Horses share with humans this characteristic of working on a daily basis and are submitted then to work stressors related to physical constraints and/or more “psychological” conflicts, such as potential controversial orders from the riders or the requirement to suppress emotions. On another hand, horses may perform abnormal repetitive behaviour (“stereotypies”) in response to adverse life conditions. In the present study, we investigated whether the type of work the horses are used for may have an impact on their tendency to show stereotypic behaviour (and its type) outside work. Observations in their box of 76 horses all living in the same conditions, belonging to one breed and one sex, revealed that the prevalence and types of stereotypies performed strongly depended upon the type of work they were used for. The stereotypies observed involved mostly mouth movements and head tossing/nodding. Work constraints probably added to unfavourable living conditions, favouring the emergence of chronic abnormal behaviours. This is especially remarkable as the 23 hours spent in the box were influenced by the one hour work performed every day. To our knowledge, this is the first evidence of potential effects of work stressors on the emergence of abnormal behaviours in an animal species. It raises an important line of thought on the chronic impact of the work situation on the daily life of individuals