Name agreement in picture naming: An ERP study

Name agreement is the extent to which different people agree on a name for a particular picture. Previous studies have found that it takes longer to name low name agreement pictures than high name agreement pictures. To examine the effect of name agreement in the online process of picture naming, we compared event-related potentials (ERPs) recorded whilst 19 healthy, native English speakers silently named pictures which had either high or low name agreement. A series of ERP components was examined: P1 approximately 120ms from picture onset, N1 around 170ms, P2 around 220ms, N2 around 290ms, and P3 around 400ms. Additionally, a late time window from 800 to 900ms was considered. Name agreement had an early effect, starting at P1 and possibly resulting from uncertainty of picture identity, and continuing into N2, possibly resulting from alternative names for pictures. These results support the idea that name agreement affects two consecutive processes: first, object recognition, and second, lexical selection and/or phonological encoding

Active - passive spent fuel interrogation using neutrons and photons

“This dissertation consists of three main parts. The first part is devoted to the comprehensive dead-time calculations with different detectors and conditions using different dead-time models as well as computer simulations. The minimum time that must separate two detectable events is called the counting system’s dead-time. If events take place during the system’s dead-time, they will not be recorded and will be lost. Such lost information is very important in many applications including high-intensity spectroscopy and nuclear spent fuel interrogations. The second part, a multitude of fission products identified as candidates have been scrutinized for their suitability of burnup analysis and spent fuel analysis for irradiated Mixed Oxide (MOX) fuels. Best isotopes obtained for analysis by investigating half-life, photon energy, fission yield, branching ratios, production modes, thermal neutron absorption cross section and fuel matrix diffusivity. 132I and 97Nb are identified as good isotope candidates for MOX fuel on-line burnup analysis. The third and most important part, in terms of time spent and effort, deals with spent fuel analysis using non-destructive (NDA) delayed fast neutron measurement technique for safeguard purposes. The spent fuel investigation experiment was held in Missouri University of Science and Technology Research Reactor (MSTR) which is a swimming pool type reactor and licensed to operate at 200 kilowatts power. The core of the reactor consists of 15 fuel elements with low-enriched Uranium-235. Using the NDA technique, the reactor fuel burnup and 235U - 239Pu conversion values calculated. The fast neutron measurements were taken with a liquid scintillator detector which its dead-time value calculated to be 101.2 μs for paralyzing dead-time model and 254.8 μs for non-paralyzing model”--Abstract, page iv

Lighting standards for ship and alternative solutions for energy efficiency

Lighting has an important role amongst human life. In this respect, an adequate lighting on board gives moral, motivation also helps to improve safety and security for ships’ crew. This paper aims to both determine an adequate lighting for crew and bring energy efficiency with optimal lighting considering existing regulations on shipboard lighting. After a brief introduction, on the first part the preferred lighting tendencies to be discussed at maritime regulatory base including SOLAS, MLC with comparing ILO 92/133 Conventions. The second part initially defines optimal lighting for crew accommodation and working areas with demonstrating an example on a river – type vessel. The third part emphasizes that alternative energy sources such as natural lighting methods that could create a remarkable energy efficiency on selected river – type vessel. As a consequence, in order to provide optimal lighting for the human comfort onboard, alternative energy sources such as natural lighting methods contributed artificial lighting are efficient way to ensure energy efficiency onboard

Executive Functions and Neurology in Children and Adolescents

This chapter discusses the theoretical and methodological issues of creating a developmental perspective on executive function (EF) in childhood and adolescence. Focusing on school periods, this section outlines the development of the basic components of EF—inhibition, working memory, and attention. Cognitive and neurophysiological evaluations show that despite the emergence of EF in the first few years of life, it continues to grow significantly in childhood and adolescence. The components vary slightly according to their developmental sequence. The chapter links findings to long-standing developmental issues (i.e. developmental sequences and processes) and suggests the necessary research to establish a developmental framework covering early childhood throughout adolescence

Subspace regularizers for few-shot class incremental learning

Few-shot class incremental learning---the problem of updating a trained classifier to discriminate among an expanded set of classes with limited labeled data---is a key challenge for machine learning systems deployed in non-stationary environments. Existing approaches to the problem rely on complex model architectures and training procedures that are difficult to tune and re-use. In this paper, we present an extremely simple approach that enables the use of ordinary logistic regression classifiers for few-shot incremental learning. The key to this approach is a new family of subspace regularization schemes that encourage weight vectors for new classes to lie close to the subspace spanned by the weights of existing classes. When combined with pretrained convolutional feature extractors, logistic regression models trained with subspace regularization outperform specialized, state-of-the-art approaches to few-shot incremental image classification by up to 23% on the miniImageNet dataset. Because of its simplicity, subspace regularization can be straightforwardly configured to incorporate additional background information about the new classes (including class names and descriptions specified in natural language); this offers additional control over the trade-off between existing and new classes. Our results show that simple geometric regularization of class representations offers an effective tool for continual learning.000000000000000000000000000000000000000000000000000000010241 - University of California, Berkeleyhttps://openreview.net/forum?id=boJy41J-tnQFirst author draf

The Delicate Process and Relational Style of Solution Focused Brief Therapy: Ericksonian Hypnotherapy Resemblances in SFBT

Solution focused brief therapy (SFBT) is an approach that facilitates movement of problems toward solutions. If applied as Insoo Kim Berg and Steve de Shazer intended, this approach requires a “delicate process” of attentive observational skills and use of language. This delicate process can be seen in SFBT with several resemblances of Ericksonian hypnotherapy. Through James Paul Gee’s discourse analysis, these resemblances were explored in two commercially available videos of SFBT sessions facilitated by Insoo Kim Berg. Both SFBT features and Ericksonian features were noted in these sessions, as well as an overlap of both approaches, and Ericksonian resemblances in SFBT. In both sessions, Berg appeared to work in clusters with a figured world that attends to strength and resilience, a common theme of bridging and building throughout, and great attention and significance to exceptions. These features are common in Ericksonian hypnotherapy as well, and appear significant in a relational style of training new therapists to utilize the SFBT approach as Berg and de Shazer intended