Previous studies have shown that alertness is closely related to executive control function, but its impact on components of post-error adjustment is unknown. This study applied the Attentional Networks Test and the Four-choice Flanker task with three response stimulus intervals (RSIs) to explore the correlation between alertness and post-error adjustment. The results showed a significant negative correlation between the alertness and post-error slowing (PES) under 200ms RSI and post-error improvement in accuracy (PIA) under 700ms RSI and 1200ms RSI. The PES under 200ms RSI in the low alerting group was significantly larger than in other groups. The PIA under 1200ms RSI in the high alerting group was significantly smaller than in other groups. This study revealed the effects of alertness on different processing components of post-error adjustment. The control strategies utilized by individuals with high and low levels of alertness differed in preparation for performance monitoring. Alertness improved post-error response speed in a task-unspecific manner, but not post-error adaptation.
De multiples recherches ont utilisé des logatomes pour examiner s’il existe un lien motivé entre le signifiant et son signifié, son référent ou son concept. Comme les logatomes ne sont pas des unités linguistiques naturelles, leur traitement pourrait être différent de celles qui appartiennent à la langue naturelle, telles que les noms propres humains. Dans cet article, nous nous concentrons sur les études relevant des associations entre les caractéristiques phonétiques des noms propres véritables et les propriétés des personnes ou des personnages de fiction. Nous présentons des corrélations phonosémantiques attestées dans les recherches précédentes sous forme de tableau et argumentons l’importance de la présentation explicite de la méthodologie dans les futures recherches descriptives et expérimentales.
Abstract Prior studies indicate that the semantic radical in Chinese characters contains category information that can support the independent retrieval of category information through the lexical network to the conceptual network. Inductive reasoning relies on category information; thus, semantic radicals may influence inductive reasoning. As most natural concepts are hierarchically structured in the human brain, this study examined how semantic radicals impact inductive reasoning for hierarchical concepts. The study used animal and plant nouns, organized in basic, superordinate, and subordinate levels; half had a semantic radical and half did not. Eighteen participants completed an inductive reasoning task. Behavioural and event-related potential (ERP) data were collected. The behavioural results showed that participants reacted faster and more accurately in the with-semantic-radical condition than in the without-semantic-radical condition. For the ERPs, differences between the conditions were found, and these differences lasted from the very early cognitive processing stage (i.e., the N1 time window) to the relatively late processing stages (i.e., the N400 and LPC time windows). Semantic radicals can help to distinguish the hierarchies earlier (in the N400 period) than characters without a semantic radical (in the LPC period). These results provide electrophysiological evidence that semantic radicals may improve sensitivity to distinguish between hierarchical concepts.
The folk paper cutting is one of the important folks art that depends on the folk idea and activities. The laborers express their emotion and long-chershed wish by paper cutting art that image sign transformed. People give the fine symbol meaning to the art image of the paper cutting,thus form the symbol system,which have the opposite stability sign form. This kind of symbol meaning which under the paper cutting’s art form,is a reflection of the Chinese tradition and the folk cultural.
In this paper, we propose a new geometrical two-erose-ring scattering model for the multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) fading channels. In this model, the line-of-sight (LOS) and non-line-of-sight (NLOS) components are all considered. Based on the geometrical model, a reference model and the corresponding simulation model are derived. Their statistical properties such as the three-dimensional (3D) space-time cross-correlation function (CCF), the two-dimensional (2D) spatial cross-correlation function (2D spatial CCF), and the temporal autocorrelation function (ACF) are studied. For computing the parameters of the simulation model, the extended method of exact Doppler spread (MEDS) are used. The close agreement between the statistical properties of the simulation model and those of the reference model are demonstrated. We believe that this research work is important for designers to develop, analysis, test, and optimization the future MIMO M2M communication systems.
Fabric re-creation,which has a wide peformance area,is a second design on fabrics aimming for providing better design opinion and art effect for designers.Based on the evolution of fabric re-creation,the research and application of collage method and folding method in fabric re-creation,this article gave a deep research in the application of fabric re-creation in home decoration design.
Abstract The mislocalization of proteins leads to breast cancer, one of the world’s most prevalent cancers, which can be identified from immunohistochemical images. Here, based on the deep learning framework, location prediction models were constructed using the features of breast immunohistochemical images. Ultimately, six differentially localized proteins that with stable differentially predictive localization, maximum localization differences, and whose predicted results are not affected by removing a single image are obtained (CCNT1, NSUN5, PRPF4, RECQL4, UTP6, ZNF500). Further verification reveals that these proteins are not differentially expressed, but are closely associated with breast cancer and have great classification performance. Potential mechanism analysis shows that their co-expressed or co-located proteins and RNAs may affect their localization, leading to changes in interactions and functions that further causes breast cancer. They have the potential to help shed light on the molecular mechanisms of breast cancer and provide assistance for its early diagnosis and treatment.
Online social networks have gradually permeated into every aspect of people's life. As a research hotspot in social network, user influence is of theoretical and practical significant for information transmission, optimization and integration. A prominent application is a viral marketing campaign which aims to use a small number of targeted influence users to initiate cascades of influence that create a global increase in product adoption. In this paper, we analyze mainly evaluation methods of user influence based on IDM evaluation model, PageRank evaluation model, use behavior model and some other popular influence evaluation models in currently social network. And then, we extract the core idea of these models to build our influence evaluation model from two aspects, relationship and activity. Finally, the proposed approach was validated on real world datasets, and the result of experiments shows that our method is both effective and stable.
Now, power control is an emphasis of application of wireless sensor network. It can be used in MAC layer, network layer and application layer. Using power control in topology construction of WSN can control the connectivity of network and save the nodes' energy well. This paper provides an APCTC algorithm using birthday paradox theory to control the nodes alternate among transmitting status and dormancy status and listen status. This algorithm is based on distributed power control based topology construction, and it can reduce the energy consumption of nodes with the precondition of ensuring connectivity of network. At the end of this paper, the simulation is done fore APCTC algorithm and the result is provided.
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