117 research outputs found
Synaesthesia in Chinese: A corpus-based study on gustatory adjectives in Mandarin
This study adopted a corpus-based approach to examine the synaesthetic metaphors of gustatory adjectives in Mandarin. Based on the distribution of synaesthetic uses in the corpus, we found that: (1) the synaesthetic metaphors of Mandarin gustatory adjectives exhibited directionality; (2) the directionality of Mandarin synaesthetic gustatory adjectives showed both commonality and specificity when compared with the attested directionality of gustatory adjectives in English, which calls for a closer re-examination of the claim of cross-lingual universality of synaesthetic tendencies; and (3) the distribution and directionality of Mandarin synaesthetic gustatory adjectives could not be predicted by a single hypothesis, such as the embodiment-driven approach or the biological association-driven approach. Thus, linguistic synaesthesia was constrained by both the embodiment principle and the biological association mechanism
Expression, Purification and Activity Study of Amuc_1100
Objective: To construct prokaryotic expression vector of Amuc_1100 gene, the ELP (ELSTIN-LIKE PROTEIN) is used as purification label to express fusion with the target protein and detect the biological activity of recombinant protein at cell level and animal level. Methods: the recombinant plasmid pET28a-Amuc_1100-ELP is designed and synthesized, and transformed into e. coli competent cell bl21 (de3) to induce expression. The recombinant egg was isolated and purified by the reversible phase change cycling (ITC) characteristic of ELP10 white. At the cellular level, PBMCs cells from mice were extracted to detect the expression level of IL-10. At the animal level, obese mice induced by gastric gavage with high fat detected the improvement effect of the protein on mouse metabolism. Results: The recombinant protein with the expected molecular weight of 60 kDa was expressed by E.coli expression system. After circulating through ITC, the recombinant protein with high purity was obtained. The protein increased the expression level of IL-10 in PBMCs cells, and significantly improved the obesity and metabolic disorders induced by high-fat diet in mice. Conclusion: The recombinant protein expression plasmid pET28a-Amuc_1100-ELP was successfully constructed. After expression and purification, the recombinant protein expression plasmid has high purity and has 15 biologically active recombinant protein. This study laid a foundation for the industrial production and clinical application of Amuc_1100
Mandarin Chinese modality exclusivity norms
Modality exclusivity norms have been developed in different languages for research on the relationship between perceptual and conceptual systems. This paper sets up the first modality exclusivity norms for Chinese, a Sino-Tibetan language with semantics as its orthographically relevant level. The norms are collected through two studies based on Chinese sensory words. The experimental designs take into consideration the morpho-lexical and orthographic structures of Chinese. Study 1 provides a set of norms for Mandarin Chinese single-morpheme words in mean ratings of the extent to which a word is experienced through the five sense modalities. The degrees of modality exclusivity are also provided. The collected norms are further analyzed to examine how sub-lexical orthographic representations of sense modalities in Chinese characters affect speakersâ interpretation of the sensory words. In particular, we found higher modality exclusivity rating for the sense modality explicitly represented by a semantic radical component, as well as higher auditory dominant modality rating for characters with transparent phonetic symbol components. Study 2 presents the mean ratings and modality exclusivity of coordinate disyllabic compounds involving multiple sense modalities. These studies open new perspectives in the study of modality exclusivity. First, links between modality exclusivity and writing systems have been established which has strengthened previous accounts of the influence of orthography in the processing of visual information in reading. Second, a new set of modality exclusivity norms of compounds is proposed to show the competition of influence on modality exclusivity from different linguistic factors and potentially allow such norms to be linked to studies on synesthesia and semantic transparency
Chinese Synesthesia Detection: New Dataset and Models
In this paper, we introduce a new task called synesthesia detection, which aims to extract the sensory word of a sentence, and to predict the original and synesthetic sensory modalities of the corresponding sensory word. Synesthesia refers to the description of perceptions in one sensory modality through concepts from other modalities. It involves not only a linguistic phenomenon, but also a cognitive phenomenon structuring human thought and action, which makes it become a bridge between figurative linguistic phenomenon and abstract cognition, and thus be helpful to understand the deep semantics. To address this, we construct a large-scale human-annotated Chinese synesthesia dataset, which contains 7,217 annotated sentences accompanied by 187 sensory words. Based on this dataset, we propose a family of strong and representative baseline models. Upon these baselines, we further propose a radical-based neural network model to identify the boundary of the sensory word, and to jointly detect the original and synesthetic sensory modalities for the word. Through extensive experiments, we observe that the importance of the proposed task and dataset can be verified by the statistics and progressive performances. In addition, our proposed model achieves state-of-the-art results on the synesthesia dataset
Sensory Features in Affective Analysis: A Study Based on Neural Network Models
This study proposes an ensemble model to incorporate sensory features
of lexical items in English from external resources into neural affective analysis
frameworks. This allows the models to take the combined effects of bi-directional
feeling between the sensory lexicon and the writer to infer human affective
knowledge. We evaluate our model on two affective analysis tasks. The ensemble
model exhibits the best accuracy and the results with 1% F1-score improvement
over the baseline LSTM model in the sentiment analysis task. The performance
shows that perceptual information can contribute to the performance of sentiment
classification tasks significantly. This study also provides a support for the
linguistic finding that correlations exist between sensory features and sentiments
in the language
Two-dimensional bimetal-embedded expanded phthalocyanine monolayers: a class of multifunctional materials with fascinating properties
The expanded phthalocyanine (EPc) single-layer sheets with double transition
metals (labeled as TM2EPc, TM = Sc-Zn) are predicted to be a new class of
two-dimensional (2D) metal-organic materials with a series of favorable
functional properties by means of systematic first-principle calculations and
molecular dynamics simulations. The strong coordination between metal and EPc
substrate accounts for the excellent structural stability. Chemical bonding
analysis has demonstrated the absence of TM-TM bonding. Each metal center is
isolated, but connected to the organic framework by four 2c-2e TM-N
{\sigma}-bonds to form an extended 2D network. Unexpectedly, it is found that
the V2EPc is an antiferromagnetic metal with Dirac cone, while Cr2EPc exhibits
ferromagnetic Dirac half-metallicity, which is not common in 2D materials.
Excitingly, the ferromagnetic Cr2EPc and antiferromagnetic Mn2- and Fe2-EPc
have high magnetic transition temperatures of 223, 217, and 325 K,
respectively, which are crucial for the practical applications of spintronics.
Cr2EPc can maintain the Dirac half-metallicity under -6 % ~ 2 % biaxial
strains, and Fe2EPc can transform from semiconductor to half-metal by applying
-6 % ~ -10 % compressive strains. Additionally, the TM2EPc monolayers exhibit a
full response to visible light and some materials have strong absorption in the
ultraviolet and infrared regions in addition to visible light, showing
extraordinary solar light-harvesting ability. Notably, the designed type-II
heterojunctions Fe2EPc/SnC, Co2EPc/GeS, and Ni2EPc/2H-WSe2 have high power
conversion efficiency (PCE > 15%), especially the PCE of Ni2EPc/2H-WSe2 reaches
25.19%, which has great potential in solar cell applications. All these desired
properties render 2D TM2EPc monolayers promising candidates for future
applications in nanoelectronics, spintronics,optoelectronics, and photovoltaic
devices
Joint Task Offloading and Resource Allocation in Aerial-Terrestrial UAV Networks with Edge and Fog Computing for Post-Disaster Rescue
Unmanned aerial vehicles (UAVs) play an increasingly important role in
assisting fast-response post-disaster rescue due to their fast deployment,
flexible mobility, and low cost. However, UAVs face the challenges of limited
battery capacity and computing resources, which could shorten the expected
flight endurance of UAVs and increase the rescue response delay during
performing mission-critical tasks. To address this challenge, we first present
a three-layer post-disaster rescue computing architecture by leveraging the
aerial-terrestrial edge capabilities of mobile edge computing (MEC) and vehicle
fog computing (VFC), which consists of a vehicle fog layer, a UAV client layer,
and a UAV edge layer. Moreover, we formulate a joint task offloading and
resource allocation optimization problem (JTRAOP) with the aim of maximizing
the time-average system utility. Since the formulated JTRAOP is proved to be
NP-hard, we propose an MEC-VFC-aided task offloading and resource allocation
(MVTORA) approach, which consists of a game theoretic algorithm for task
offloading decision, a convex optimization-based algorithm for MEC resource
allocation, and an evolutionary computation-based hybrid algorithm for VFC
resource allocation. Simulation results validate that the proposed approach can
achieve superior system performance compared to the other benchmark schemes,
especially under heavy system workloads.Comment: 18 pages, 6 figure
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