To Help or Not to Help? Assessing the Impact of Envy and Gratitude on Prosocial Behaviors

Envy is an other-oriented but negative emotion; no research has examined the influence of envy on prosocial behavior. Study 1 examined whether envy and gratitude would promote or inhibit prosocial behavior. I hypothesized that envy would result in less helping behavior than a neutral condition, whereas gratitude would increase helping behavior. Results supported the hypothesis that envy inhibits prosocial behavior. There was not enough evidence to suggest that gratitude promoted helping. Study 2 examined how envy and gratitude affected prosocial behavior when participants were given the choice to help or harm others. I hypothesized that experiencing envy would result in greater likelihood of engaging in harmful behavior, but that gratitude would promote more helpful behavior, even when it meant a less positive outcome for participants. The hypothesis that envy increases harming behavior was supported, while there was not enough evidence to suggest that gratitude promoted helping behavior in this scenario

When Empathy Only Goes So Far: Development of a Trait Parochial Empathy Scale

Empathy, the ability to feel and/or understand another’s emotional state, plays a significant role in interpersonal interactions, mitigating hostility and enhancing affiliation and helping. However, empathy also biases interpersonal reactions. For example, at the group level empathy can become amplified towards members of their ingroup and blunted towards individuals in outgroups, a term called parochial empathy. Currently, no validated measures of parochial empathy at the dispositional level exist, and development of such a scale would be important to understanding the role of group-based emotions in prejudice and discrimination against outgroups. I conducted five studies to develop and validate a self-report Trait Parochial Empathy Scale (TPES) that could measure tendencies to respond with parochial empathy across any set of group membership categories. Study 1 assessed the factor structure of the TPES through exploratory and confirmatory factor analyses while Study 2 attempted to replicate the Study 1 factor structure and assess concurrent and divergent validity of the TPES using attitudinal measures. Study 3 assessed the temporal consistency of the TPES. Study 4 examined whether the TPES could be flexibly used across a variety of groups by assessing its relation to various outcomes across different ingroup and outgroup combinations. Finally, Study 5 assessed the ability of the TPES to predict in vivo behavior

Structure and Giant Inverse Magnetocaloric Effect of Epitaxial Ni-Co-Mn-Al Films

The structural, magnetic, and magnetocaloric properties of epitaxial Ni-Co-Mn-Al thin films with different compositions have been studied. The films were deposited on MgO(001) substrates by co-sputtering on heated substrates. All films show a martensitic transformation, where the transformation temperatures are strongly dependent on the composition. The structure of the martensite phase is shown to be 14M. The metamagnetic martensitic transformation occurs from strongly ferromagnetic austenite to weakly magnetic martensite. The structural properties of the films were investigated by atomic force microscopy and temperature dependent X-ray diffraction. Magnetic and magnetocaloric properties were analyzed using temperature dependent and isothermal magnetization measurements. We find that Ni$_{41}$Co$_{10.4}$Mn$_{34.8}$Al$_{13.8}$ films show giant inverse magnetocaloric effects with magnetic entropy change of 17.5\,J\,kg$^{-1}$K$^{-1}$ for $\mu_0 \Delta H=5\,\text{T}$.Comment: 8 pages, 8 figure

Thickness dependent exchange bias in martensitic epitaxial Ni-Mn-Sn thin films

A thickness dependent exchange bias in the low temperature martensitic state of epitaxial Ni-Mn-Sn thin films is found. The effect can be retained down to very small thicknesses. For a Ni50Mn32Sn18 thin film, which does not undergo a martensitic transformation, no exchange bias is observed. Our results suggest that a significant interplay between ferromagnetic and antiferromagnetic regions, which is the origin for exchange bias, is only present in the martensite. The finding is supported by ab initio calculations showing that the antiferromagnetic order is stabilized in the phase

Cognitive Effort and Identity Study 1: Observational

Expanding our understanding of cognitive effort into the domain of identity, this study will examine how people's religious identity relate to their willingness to talk to people about religion using the behavioral economic cognitive discounting paradigm. In tandem with several pre-registered studies, these results will expand our definition of cognitive effort into the domains of attitudes and identity, while also providing groundwork to explore cognitive effort as a prejudiced process, and the role of cost in understanding outgroup and counterattitudinal engagement

Mindful Attention as a Skillful Means toward Intergroup Prosociality

Objectives: Mindful attention deployment has been found to have practical benefits for a range of interpersonal outcomes including prosocial action and emotion. Recently, theory has posited that contemplative training that incorporates mindful attention may enhance intergroup compassion. Method: Here, we conduct a selective narrative review, drawing on the Buddhist concept skillful means to ask if mindful attention deployment presents an optimal starting point for intergroup compassion and action. Results: An interdisciplinary theoretical framework is presented, which suggests that mindful attention dismantles common intrapsychic challenges to intergroup prosociality. Empirical research is described concerning cause and effect relationships between mindfulness and several outgrowths of intergroup prosociality. Specifically, mindfulness promotes basic social cognitive processes that allow intergroup prosociality to flourish. Conclusions: While this research is promising, to date the science on this topic has been limited to individual-level outgrowths of mindfulness practice. Discussion focuses on the future of mindfulness research in intergroup prosociality and calls for an integrative approach situating mindful attention deployment within social (and other) psychological interventions to enhance intergroup compassion

Why Can’t I Resist Those “Puppy Dog” (or “Kitty Cat”) Eyes? A Study of Owner Attachment and Factors Associated with Pet Obesity

Attachment theory posits that patterns of interaction derived from the attachment system provide a starting point for understanding how people both receive and provide care. Extending this theory to human-animal interactions provides insights into how human psychology affects pets, such as pet obesity. The goal of this study was to determine how attachment anxiety and avoidance might contribute to pet obesity. We assessed 563 pet owners’ attachment-related anxiety and avoidance, as well as additional attachment-related constructs (emotional rejection, evaluation concern, caregiving, and attentiveness to a pet). We also assessed various factors associated with pet obesity, including weight, body condition, daily treats, and daily interaction. The results indicate that dog owners high in attachment anxiety are concerned about how their pet may evaluate them, leading to more caregiving and attentiveness that results in more treats given per day, and a larger body condition (but not weight). In addition, owners high in attachment avoidance may seek to downplay the possibility of the dog negatively evaluating them, thus providing more negligent care. These findings suggest that attachment plays a unique role in shaping the pet-caregiver relationship and influences various elements that contribute to pet obesity, particularly in dogs. As such, the findings may lend a novel perspective to strategies for reducing pet obesity and provide a framework for future research into pet health

Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis: Machine Learning for Biomarker Development

Diffusion tensor imaging (DTI) allows the in vivo imaging of pathological white matter alterations, either with unbiased voxel-wise or hypothesis-guided tract-based analysis. Alterations of diffusion metrics are indicative of the cerebral status of patients with amyotrophic lateral sclerosis (ALS) at the individual level. Using machine learning (ML) models to analyze complex and high-dimensional neuroimaging data sets, new opportunities for DTI-based biomarkers in ALS arise. This review aims to summarize how different ML models based on DTI parameters can be used for supervised diagnostic classifications and to provide individualized patient stratification with unsupervised approaches in ALS. To capture the whole spectrum of neuropathological signatures, DTI might be combined with additional modalities, such as structural T1w 3-D MRI in ML models. To further improve the power of ML in ALS and enable the application of deep learning models, standardized DTI protocols and multi-center collaborations are needed to validate multimodal DTI biomarkers. The application of ML models to multiparametric MRI/multimodal DTI-based data sets will enable a detailed assessment of neuropathological signatures in patients with ALS and the development of novel neuroimaging biomarkers that could be used in the clinical workup