43 research outputs found
The evolution of BIR domain and its containing proteins
AbstractBIR domain and its containing proteins play critical roles in cell apoptosis and cell division. Here several lines of novelty were revealed based on a comprehensive evolutionary analysis of BIR domains in 11 representative organisms. First, the type II BIR domains in Survivin and Bruce showed more conservation compared with the type I BIR domains in the inhibitors of apoptosis proteins (IAPs). Second, cIAP was derived from a XIAP duplicate and emerged just after the divergence of invertebrates and vertebrates. Third, the three BIR domains of NAIP displayed significantly elevated evolutionary rates compared with the BIR domains in other IAPs
Enhanced Neural Responses in Specific Phases of Reward Processing in Individuals with Internet Gaming Disorder
Modality-specific cognitive control mechanisms as revealed by an audio-visual Stroop task
Dissociated Neural Mechanisms of Target and Distractor Processing Facilitated by Expectations
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Novel Word Learning in Multilingual Children with and without Autism Spectrum Disorder: Roles of Social Cognition, Multilingualism and Vocabulary Proficiency
While the impact of social cognition on novel word learning has been extensively studied in monolingual populations, limited research has investigated its role in multilingual children with and without autism spectrum disorder. This study examined the role of multilingualism on the acquisition of novel English words under directly addressed and overhearing conditions. Participants included four groups of children with different language status (multilingual and monolingual and diagnostic status (typically developing and autistic). The results revealed that the learning preferences vary across participant groups depending on their language and diagnostic statuses. Additionally, dynamic patterns of novel word learning were unveiled, demonstrating the influence of English vocabulary proficiency on multilingual children's learning process. The findings highlighted the complex role of multilingualism on driving the formation of learning preference for typical developing and autistic children
Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors
Over the past few decades, concentrations of carbon dioxide (CO2), a key greenhouse gas, have risen at a global rate of approximately 2 ppm/a. China is the largest CO2 emitter and is the principle contributor to the increase in global CO2 levels. Based on a satellite-retrieved atmospheric carbon dioxide column average dry air mixing ratio (XCO2) dataset, derived from the greenhouse gas observation satellite (GOSAT), this paper evaluates the spatial and temporal variations of XCO2 characteristics in China during 2009–2016. Moreover, the factors influencing changes in XCO2 were investigated. Results showed XCO2 concentrations in China increased at an average rate of 2.28 ppm/a, with significant annual seasonal variations of 6.78 ppm. The rate of change of XCO2 was greater in south China compared to other regions across China, with clear differences in seasonality. Seasonal variations in XCO2 concentrations across China were generally controlled by vegetation dynamics, characterized by the Normalized Difference Vegetation Index (NDVI). However, driving factors exhibited spatial variations. In particular, a distinct belt (northeast–southwest) with a significant negative correlation (r < −0.75) between XCO2 and NDVI was observed. Furthermore, in north China, human emissions were identified as the dominant influencing factor of total XCO2 variations (r > 0.65), with forest fires taking first place in southwest China (r > 0.47). Our results in this study can provide us with a potential way to better understand the spatiotemporal changes of CO2 concentration in China with NDVI, human activity and biomass burning, and could have an enlightening effect on slowing the growth of CO2 concentration in China
Negative curvature fiber for suppressing high-order radial OAM modes transmission
The combination of terahertz (THz) wave and the orbital angular momentum (OAM) multiplexing technology can further improve the communication capacity. Compared to other outer cladding structures, the negative curvature structure has been proven to provide stronger confinement effect on electromagnetic waves. Here, we propose a novel polymer (COC TOPAS) fiber which consists a central hollow-core, annular region and single layer negative curvature circle tubes as outer cladding for terahertz OAM modes transmission. The mode map is established by mathematical analysis of cut-off conditions for the vector modes, and the excitation of high-order radial modes in the fiber is successfully suppressed. In addition, the effective refractive index, confinement loss, effective mode area, mode purity and dispersion characteristics of the fiber are investigated under the condition of ‘single mode’ operation in the frequency range of 2.0–3.0 THz
Study on the Basic Characteristics of Iron Ore Powder with Different Particle Sizes
In order to study in depth the differences in basic characteristics between iron ore fines commonly used by a steel company, and guide the sintering performance plant to choose the best ore allocation method, experimental studies on the basic characteristics of seven iron ore powders of three sizes were carried out using micro-sintering equipment, mainly including assimilation properties, liquid phase fluidity, and bonding phase strength. The results of the research showed that with the increase of the iron ore powder particle size, the assimilation of the seven iron ore powders showed an overall decreasing trend, deteriorating fluidity and decreasing bonding phase strength. Among them, the overall fluidity of iron ore powder A was poor, and the fluidity of iron ore powder B varied greatly between different particle grades, and the fluidity of iron ore powder C was more balanced and its bonding phase strength was high, while the overall bonding phase strength of iron ore powders B and E was low. The results of the study provide a theoretical basis for optimal ore allocation in sintering plants
The Congruency Sequence Effect Is Modulated by the Similarity of Conflicts
The congruence effect can be modulated by adjacent conflict conditions, producing the congruency sequence effect (CSE). However, many boundary conditions prevent the transfer of the cross-conflict CSE. A consensus has been achieved that the CSE reflects both top-down control and bottom-up associative learning, but neither perspective could perfectly interpret the various boundary conditions. Their imperfections recently inspired an integrative learning account of cognitive control, which predicts that conflict similarity affects the magnitude of the cross-conflict CSE. We examined this hypothesis with the spatial Stroop-Simon paradigm by introducing a compound condition containing both the Stroop and Simon components (Experiment 1). The conflict similarity was defined by the degree of component overlap, as manipulated by the polar angle of the target arrow in Experiments 2a and 2b and by the Euclidean distance of the target arrow in Experiments 3a and 3b. Mixed-effect modeling analyses indicated that, in all experiments, the cross-conflict CSEs were positively correlated with the similarity among conflict conditions. Specifically, the compound condition with equal Stroop and Simon components generated comparable CSEs with both the Stroop and Simon conditions (Experiment 1). When the compound condition was more similar to the Stroop than the Simon condition, a trend of a larger CSE was observed between the compound conflict and the Stroop condition than between the compound conflict and the Simon condition, and vice versa (Experiments 2 and 3). Our study revealed that the continuum of the cross-conflict CSE was modulated by conflict similarity, hence supporting the integrative learning account of cognitive control