Evaluation of Two Web-Based Alcohol Interventions for Mandated College Students

This study evaluated the efficacy of two web-based interventions aimed at reducing heavy drinking in mandated college students. Mandated students were randomly assigned to one of two conditions: web-based personalized normative feedback (WPNF) or web-based education (WE). As predicted, results indicated mandated students in the WPNF condition reported significantly greater reductions in weekly drinking quantity, peak alcohol consumption, and frequency of drinking to intoxication than students in the WE condition at a 30-day follow-up. Although not statistically significant, there was a similar trend for changes in alcohol-related problems. Mandated students in the WPNF group also reported significantly greater reductions in estimates of peer drinking from baseline to the follow-up assessment than students in the WE group. Additionally, changes in estimates of peer drinking mediated the effect of the intervention on changes in drinking. Findings provide support for providing web-based personalized normative feedback as an intervention program for mandated college students

A theory of relation learning and cross-domain generalization

People readily generalize knowledge to novel domains and stimuli. We present a theory, instantiated in a computational model, based on the idea that cross-domain generalization in humans is a case of analogical inference over structured (i.e., symbolic) relational representations. The model is an extension of the Learning and Inference with Schemas and Analogy (LISA; Hummel & Holyoak, 1997, 2003) and Discovery of Relations by Analogy (DORA; Doumas et al., 2008) models of relational inference and learning. The resulting model learns both the content and format (i.e., structure) of relational representations from nonrelational inputs without supervision, when augmented with the capacity for reinforcement learning it leverages these representations to learn about individual domains, and then generalizes to new domains on the first exposure (i.e., zero-shot learning) via analogical inference. We demonstrate the capacity of the model to learn structured relational representations from a variety of simple visual stimuli, and to perform cross-domain generalization between video games (Breakout and Pong) and between several psychological tasks. We demonstrate that the model’s trajectory closely mirrors the trajectory of children as they learn about relations, accounting for phenomena from the literature on the development of children’s reasoning and analogy making. The model’s ability to generalize between domains demonstrates the flexibility afforded by representing domains in terms of their underlying relational structure, rather than simply in terms of the statistical relations between their inputs and outputs

Adult Attachment as a Risk Factor for Intimate Partner Violence: The “Mispairing” of Partners’ Attachment Styles

This study examined the relationship between intimate partner violence and adult attachment in a sample of 70 couples. The attachment style of each partner and the interaction of the partners\u27 attachment styles were examined as predictors of intimate partner violence. Additional analyses were conducted to examine violence reciprocity and to explore differences in the relationship between attachment and violence using continuous and dichotomous violence measures. Results of hierarchical regression analyses indicated the mispairing of an avoidant male partner with an anxious female partner was associated with both male and female violence. When controlling for partner violence, the relationship between attachment and violence was significant for males only. In addition, analyses using a dichotomized violence variable produced different results from analyses using a continuous violence measure. Clinical implications include focusing on the discrepancy between partners’ needs for intimacy and distance within the couple as a strategy for treating intimate partner violenc

Comparison and Mapping Facilitate Relation Discovery and Predication

Relational concepts play a central role in human perception and cognition, but little is known about how they are acquired. For example, how do we come to understand that physical force is a higher-order multiplicative relation between mass and acceleration, or that two circles are the same-shape in the same way that two squares are? A recent model of relational learning, DORA (Discovery of Relations by Analogy; Doumas, Hummel & Sandhofer, 2008), predicts that comparison and analogical mapping play a central role in the discovery and predication of novel higher-order relations. We report two experiments testing and confirming this prediction

Storytelling with objects to explore digital archives

Finding media in archives is difficult while storytelling with photos can be fun and supports memory retrieval. Could the search for media become a natural part of the storytelling experience? This study investigates spatial interactions with objects as a means to encode information for retrieval while being embedded in the story flow. An experiment is carried out in which participants watch a short video and re-tell the story using cards each of which shows a character or object occurring in the video. Participants arrange the cards when telling the story. It is analyzed what information interactions with cards carry and how this information relates to the language of storytelling. Most participants align interactions with objects with the sentences of the story while some arrange the cards corresponding to the video scene. Spatial interactions with objects can carry information on their own or complemented by language

Evaluation of a Youth Suicide Prevention Course: Increasing Counseling Students’ Knowledge, Skills, and Self-Efficacy

Adolescent suicide rates continue to rise within the United States. This study evaluated a Youth Suicide Prevention course in a Master’s in Counseling Program. Participants reported increases in knowledge and perceived ability to help suicidal clients post-training and in suicide prevention skills and suicide assessment and intervention self-efficacy at the 3-month follow-up. Implications for counselor education programs, such as using both experiential and didactic teaching methods, as well as timing suicide training before practicum, are discussed

Evaluation of a Youth Suicide Prevention Course: Increasing Counseling Students’ Knowledge, Skills, and Self-Efficacy

Adolescent suicide rates continue to rise within the United States. This study evaluated a Youth Suicide Prevention course in a Master’s in Counseling Program. Participants reported increases in knowledge and perceived ability to help suicidal clients post-training and in suicide prevention skills and suicide assessment and intervention self-efficacy at the 3-month follow-up. Implications for counselor education programs, such as using both experiential and didactic teaching methods, as well as timing suicide training before practicum, are discussed

Tensors and compositionality in neural systems

Neither neurobiological nor process models of meaning composition specify the operator through which constituent parts are bound together into compositional structures. In this paper, we argue that a neurophysiological computation system cannot achieve the compositionality exhibited in human thought and language if it were to rely on a multiplicative operator to perform binding, as the tensor product (TP)-based systems that have been widely adopted in cognitive science, neuroscience and artificial intelligence do. We show via simulation and two behavioural experiments that TPs violate variable-value independence, but human behaviour does not. Specifically, TPs fail to capture that in the statements fuzzy cactus and fuzzy penguin, both cactus and penguin are predicated by fuzzy(x) and belong to the set of fuzzy things, rendering these arguments similar to each other. Consistent with that thesis, people judged arguments that shared the same role to be similar, even when those arguments themselves (e.g., cacti and penguins) were judged to be dissimilar when in isolation. By contrast, the similarity of the TPs representing fuzzy(cactus) and fuzzy(penguin) was determined by the similarity of the arguments, which in this case approaches zero. Based on these results, we argue that neural systems that use TPs for binding cannot approximate how the human mind and brain represent compositional information during processing. We describe a contrasting binding mechanism that any physiological or artificial neural system could use to maintain independence between a role and its argument, a prerequisite for compositionality and, thus, for instantiating the expressive power of human thought and language in a neural system

A mechanism for the cortical computation of hierarchical linguistic structure

Biological systems often detect species-specific signals in the environment. In humans, speech and language are species-specific signals of fundamental biological importance. To detect the linguistic signal, human brains must form hierarchical representations from a sequence of perceptual inputs distributed in time. What mechanism underlies this ability? One hypothesis is that the brain repurposed an available neurobiological mechanism when hierarchical linguistic representation became an efficient solution to a computational problem posed to the organism. Under such an account, a single mechanism must have the capacity to perform multiple, functionally related computations, e.g., detect the linguistic signal and perform other cognitive functions, while, ideally, oscillating like the human brain. We show that a computational model of analogy, built for an entirely different purpose—learning relational reasoning—processes sentences, represents their meaning, and, crucially, exhibits oscillatory activation patterns resembling cortical signals elicited by the same stimuli. Such redundancy in the cortical and machine signals is indicative of formal and mechanistic alignment between representational structure building and “cortical” oscillations. By inductive inference, this synergy suggests that the cortical signal reflects structure generation, just as the machine signal does. A single mechanism—using time to encode information across a layered network—generates the kind of (de)compositional representational hierarchy that is crucial for human language and offers a mechanistic linking hypothesis between linguistic representation and cortical computatio

ESONET LIDO Demonstration Mission: the Iberian Margin node.

The Gulf of Cadiz is one of two the test sites chosen for the demonstration of the ESONET - LIDO Demonstration Mission (DM) [1], which will establish a first nucleus of regional network of multidisciplinary sea floor observatories. The Gulf of Cadiz is a highly populated area, characterized by tsunamigenic sources, which caused the devastating earthquake and tsunamis that struck Lisbon in 1755. The seismic activity is concentrated along a belt going from this region to the Azores and the main tsunamigenic tectonic sources are located near the coastline. In the framework of the EU - NEAREST project [2] the GEOSTAR deep ocean bottom multi-parametric observatory was deployed for a one year mission off cape Saint Vincent at about 3200 m depth. GEOSTAR was equipped with a set of oceanographic, seismic and geophysical sensors and with a new tsunami detector prototype. In November 2009 the GEOSTAR abyssal station equipped with the tsunami prototype was redeployed at the same site on behalf of NEAREST and ESONET - LIDO DM. The system is able to communicate from the ocean bottom to the land station via an acoustic and satellite link. The abyssal station is designed both for long term geophysical and oceanographic observation and for tsunami early warning purpose. The tsunami detection is performed by two different algorithms: a new real time dedicated tsunami detection algorithm which analyses the water pressure data, and a seismic algorithm which triggers on strong events. Examples of geophysical and oceanographic data acquired by the abyssal station during the one year mission will be shown. The development of a new acoustic antenna equipped with a stand alone and autonomous acquisition system will allow the recording of marine mammals and the evaluation of environmental noise. ReferencesEGUPublishedVienna1.8. Osservazioni di geofisica ambientaleope