Exploring Gendered Nonverbal Behavior in the 2016 U.S. Presidential Debates

The purpose of our paper is to explore the gendered double-bind in political communication. Research by argumentation scholars and others point to a double standard in media portrayals of nonverbal behavior by male and female politicians. Our analysis will rely on primarily strategic maneuvering to examine closely the ways in which gender stereotypes were enacted by U.S. Presidential candidates during televised debates in 2016

“Are You a Good Witch or a Bad Witch?”: An Exercise in Suspending Judgment when Interacting with “Difficult” People

Courses: Interpersonal Communication, Health Communication Objectives: In this single-class activity, students gain awareness and practice in suspending judgments about “difficult” people in order to understand the reasoning behind certain objectionable behavior

Temperature sensitivity of the pyloric neuromuscular system and its modulation by dopamine

We report here the effects of temperature on the p1 neuromuscular system of the stomatogastric system of the lobster (Panulirus interruptus). Muscle force generation, in response to both the spontaneously rhythmic in vitro pyloric network neural activity and direct, controlled motor nerve stimulation, dramatically decreased as temperature increased, sufficiently that stomach movements would very unlikely be maintained at warm temperatures. However, animals fed in warm tanks showed statistically identical food digestion to those in cold tanks. Applying dopamine, a circulating hormone in crustacea, increased muscle force production at all temperatures and abolished neuromuscular system temperature dependence. Modulation may thus exist not only to increase the diversity of produced behaviors, but also to maintain individual behaviors when environmental conditions (such as temperature) vary

Make No Apologies: Fear of Negative Evaluation, Depressive Symptoms, and the Mediating Role of Accounting for COVID-Safe Behavior Amongst People at High-Risk for Severe Illness

With the goal of understanding unique and important threats to the mental health of people who are especially vulnerable to severe illness as a result of COVID-19, this study investigated associations between such individuals\u27 fear of negative evaluation, tendency to account for practicing COVID-safe behaviors, and depressive symptoms. Grounded in perspectives on self-presentation, normative influence, and cognitive dissonance, we hypothesized that fear of negative evaluation would relate positively to accounting for COVID-safe behaviors, which, in turn, would associate positively with increased depressive symptoms. The results showed that increased fear of negative evaluation predicted an increased use of apologies and excuses, which in turn were positively related to depressive symptoms. Justifications for COVID-safe behaviors were not significantly associated with either fear of evaluation or depressive symptoms. The practical and theoretical implications are discussed

Impression Management in Televised Debates: The Effect of Background Nonverbal Behavior on Audience Perceptions of Debaters' Likeability

This study examined whether a debater's background nonverbal behavior affected audience perceptions of her and her opponent's likeability. Students watched one of four versions of a televised debate. In each, while the speaking debater appeared on the main screen, subscreens displayed her opponent's background nonverbal behavior. In one version, the nonspeaking debater displayed a neutral expression, whereas in the others she displayed occasional disagreement, nearly constant disagreement, or both agreement and disagreement. After viewing the debates, students rated the debaters' likeability. Analysis indicated that background behavior influenced perceptions of the nonverbal communicator but not of the speaking debater

Caracteres agronômicos da mamona influenciados pela época de semeadura.

bitstream/item/144799/1/Boletim-221.pd

Unsupervised online activity discovery using temporal behaviour assumption

We present a novel unsupervised approach, UnADevs, for discovering activity clusters corresponding to periodic and stationary activities in streaming sensor data. Such activities usually last for some time, which is exploited by our method; it includes mechanisms to regulate sensitivity to brief outliers and can discover multiple clusters overlapping in time to better deal with deviations from nominal behaviour. The method was evaluated on two activity datasets containing large number of activities (14 and 33 respectively) against online agglomerative clustering and DBSCAN. In a multi-criteria evaluation, our approach achieved significantly better performance on majority of the measures, with the advantages that: (i) it does not require to specify the number of clusters beforehand (it is open ended); (ii) it is online and can find clusters in real time; (iii) it has constant time complexity; (iv) and it is memory efficient as it does not keep the data samples in memory. Overall, it has managed to discover 616 of the total 717 activities. Because it discovers clusters of activities in real time, it is ideal to work alongside an active learning system