Emotional Intelligence and Personality Traits: Assessing Response Distortion in a Motivated Faking Task

Although research on emotional intelligence (EI) and Cluster B personality traits has considerable potential for elucidating aspects of the emotional and interpersonal difficulties experienced by individuals with elevations on these traits, the findings to date have been mixed. The purpose of this study was to use an experimental manipulation to examine the pattern of associations between both trait and ability EI and Cluster B disorders, to test whether individuals could fake their EI via self-report versus maximum performance tests to appear more socially desirable, as well as to explore the pattern of associations between EI and Cluster B disorders, after accounting for the capacity to fake EI and social desirability. The results showed that a) antisocial personality disorder traits, borderline personality disorder traits, and narcissistic personality disorder traits were negatively correlated with EI; b) participants could fake their trait EI responses, bit not their ability EI responses, when motivated to do so; c) only honest trait EI scores predicted faked trait EI scores, but honest ability EI scores and impression management predicted faked ability EI scores; and d) after accounting for variance from faking, EI was negatively associated with antisocial, borderline, and narcissistic personality disorder traits. EI was found to be a core feature of Cluster B disorders, and as such, offers a multitude of implications for everyday situations, clinical settings, and future research

Simultaneous multi-patch-clamp and extracellular-array recordings: Single neuron reflects network activity

The increasing number of recording electrodes enhances the capability of capturing the network's cooperative activity, however, using too many monitors might alter the properties of the measured neural network and induce noise. Using a technique that merges simultaneous multi-patch-clamp and multi-electrode array recordings of neural networks in-vitro, we show that the membrane potential of a single neuron is a reliable and super-sensitive probe for monitoring such cooperative activities and their detailed rhythms. Specifically, the membrane potential and the spiking activity of a single neuron are either highly correlated or highly anti-correlated with the time-dependent macroscopic activity of the entire network. This surprising observation also sheds light on the cooperative origin of neuronal burst in cultured networks. Our findings present an alternative flexible approach to the technique based on a massive tiling of networks by large-scale arrays of electrodes to monitor their activity.Comment: 36 pages, 9 figure

Small-Scale Exertion in Sports Video Games

Sports video games should be inherently competitive, but they fall short in providing competition between player skills. The translation of real-world physical activities to a game controller and the emphasis on statistical simulations in traditional sports video games leads to a limited opportunity for expertise development, individual differentiation, and fatigue. These are three very important aspects of real-world sports that are lacking in sports video games. One possible solution to these difficulties is to use small-scale exertion. This method requires the design of an input mechanic that requires only the use of hands and fingers (or feet). We created two small-scale exertion sports video games (Track and Field Racing and Jelly Polo) and ran four studies to compare our small-scale exertion games to traditional rate-based sports video games. Qualitative and quantitative results suggest that using small-scale exertion increases the amount of expertise development, individual differentiation, and fatigue in sports video games. Results also suggest small-scale exertion controls are more engaging than traditional rate-based controls. By using small-scale exertion to add physicality into sports video games, we are able to increase richness, competitiveness, and realism in order to create a game which is competitive, in terms of player skill, and sport-like

Flexible Manufacturing Systems (FMS) - Diffusion and Advantages (Part 1)

IIASA and VNIISI, Moscow, have made a one-year cooperative effort to prepare a statistical data bank in order to analyze flexible manufacturing systems in the world. For the time being the IIASA CIM data bank consists of 400 systems in the world and their detailed technical and economic description. This is about 60-70% of the world stock of FWS -- estimated to be 500-600 last year. This is the first of three papers describing the analysis made from the data bank. It presents diffusion trends and basic economic advantages gained by the implementation of systems. It includes new structural data and gives a detailed insight into many impacts; it also proves some hypotheses as well as reveals a completely new type of hypothesis

Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model

Existing neural semantic parsers mainly utilize a sequence encoder, i.e., a sequential LSTM, to extract word order features while neglecting other valuable syntactic information such as dependency graph or constituent trees. In this paper, we first propose to use the \textit{syntactic graph} to represent three types of syntactic information, i.e., word order, dependency and constituency features. We further employ a graph-to-sequence model to encode the syntactic graph and decode a logical form. Experimental results on benchmark datasets show that our model is comparable to the state-of-the-art on Jobs640, ATIS and Geo880. Experimental results on adversarial examples demonstrate the robustness of the model is also improved by encoding more syntactic information.Comment: EMNLP'1

Flexible Manufacturing Systems (FMS): State of Art and Development

The available descriptions of more than 220 FMS installed up to 1986 in all developed countries (mainly of a market type) were collected into a data bank, systematized and analyzed. In addition to the traditional data, such as country distribution, time-distribution of installations, common economic features -- investment cost, pay-back time, labor/capital/time reductions -- were investigated. Some dynamic tendencies as well as interrelationships were found within the framework of the analysis provided by the authors