We investigated 28 learners’ postural patterns associated with naturally occurring episodes of boredom, flow/engagement, confusion, frustration, and delight during a tutoring session with AutoTutor, a dialoguebased intelligent tutoring system. Training and validation data were collected in a learning session with AutoTutor, after which the learners’ affective states (i.e., emotions) were rated ...

Emotion recognition algorithms for spoken dialogue applications typically employ lexical models that are trained on labeled in-domain data. In this paper, we propose a domainindependent approach to affective text modeling that is based on the creation of an affective lexicon. Starting from a small set of manually annotated seed words, continuous valence ratings for new words are estimated using...

BACKGROUND Derivation of dose-volume correlated with toxicity for multi-modal treatments can be difficult due to the perceived need for voxel-by-voxel dose accumulation. With data available for a single-institution cohort with long follow-up, an investigation was undertaken into rectal dose-volume effects for gastrointestinal toxicities after deformably-registering each phase of a combined exte...

A Fibonacci(-like) unimodal map is defined by special combinatorial properties which guarantee that the critical omega-limit set ω(c) is a minimal Cantor set. In this paper we give conditions to ensure that f |ω(c) is invertible, except at a subset of the backward critical orbit. Furthermore, any finite subtree of the binary tree can appear for some f as the tree connecting all points at which ...

In addressing the growing model sizes used in simulation environments, I examine adding machine learning techniques to the entities in a model in an effort to produce such side effects as emergent behavior. Distributing the environment in order to increase the efficiency of the simulation also plays an important role in this thesis. The added intelligence of entities may have some affect upon t...

THERE has been an increasing interest in the research on multimedia indexing and retrieval based on subjective concepts, such as emotion, preference and aesthetics. The research efforts in this direction are considered human-centered and beyond the conventional keywordor (semantic) object-based multimedia analysis paradigm [1]. In addition, the problems addressed by these efforts are considered...

Perspectives of molecular-genetic approaches to the establishment of mechanisms of development and causes of heterogeneity of neurocognitive impairment are discussed. The current results indicate that candidate genes for depression can contribute to the variance of memory and regulatory functions in patients. At the same time, these genes are closely related to affective information processing ...