1,382 research outputs found

    On the Symmetry Foundation of Double Soft Theorems

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    Double-soft theorems, like its single-soft counterparts, arises from the underlying symmetry principles that constrain the interactions of massless particles. While single soft theorems can be derived in a non-perturbative fashion by employing current algebras, recent attempts of extending such an approach to known double soft theorems has been met with difficulties. In this work, we have traced the difficulty to two inequivalent expansion schemes, depending on whether the soft limit is taken asymmetrically or symmetrically, which we denote as type A and B respectively. We show that soft-behaviour for type A scheme can simply be derived from single soft theorems, and are thus non-preturbatively protected. For type B, the information of the four-point vertex is required to determine the corresponding soft theorems, and thus are in general not protected. This argument can be readily extended to general multi-soft theorems. We also ask whether unitarity can be emergent from locality together with the two kinds of soft theorems, which has not been fully investigated before.Comment: 45 pages, 7 figure

    Topological Anderson Insulator

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    Disorder plays an important role in two dimensions, and is responsible for striking phenomena such as metal insulator transition and the integral and fractional quantum Hall effects. In this paper, we investigate the role of disorder in the context of the recently discovered topological insulator, which possesses a pair of helical edge states with opposing spins moving in opposite directions and exhibits the phenomenon of quantum spin Hall effect. We predict an unexpected and nontrivial quantum phase termed "topological Anderson insulator," which is obtained by introducing impurities in a two-dimensional metal; here disorder not only causes metal insulator transition, as anticipated, but is fundamentally responsible for creating extended edge states. We determine the phase diagram of the topological Anderson insulator and outline its experimental consequences.Comment: 4 pages, 4 figure

    Metaphor Detection via Explicit Basic Meanings Modelling

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    One noticeable trend in metaphor detection is the embrace of linguistic theories such as the metaphor identification procedure (MIP) for model architecture design. While MIP clearly defines that the metaphoricity of a lexical unit is determined based on the contrast between its \textit{contextual meaning} and its \textit{basic meaning}, existing work does not strictly follow this principle, typically using the \textit{aggregated meaning} to approximate the basic meaning of target words. In this paper, we propose a novel metaphor detection method, which models the basic meaning of the word based on literal annotation from the training set, and then compares this with the contextual meaning in a target sentence to identify metaphors. Empirical results show that our method outperforms the state-of-the-art method significantly by 1.0\% in F1 score. Moreover, our performance even reaches the theoretical upper bound on the VUA18 benchmark for targets with basic annotations, which demonstrates the importance of modelling basic meanings for metaphor detection.Comment: ACL 202

    User Resistance to the Implementation of Information Systems: A Psychological Contract Breach Perspective

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    The current study proposes an exploratory model to examine the antecedents of user resistance in information system (IS) implementations from the perspective of a psychological contract breach (PCB). The purpose of this study is to investigate PCBs between users and IS providers (ISPs), which extends IS theory in two ways: by elaborating on why some users psychologically resist the IS, and by more deeply exploring the social-psychological determinants of user resistance. Our results show that user-perceived PCBs can lead to user resistance and feelings of violation via reneging, high user vigilance, and incongruence between the users’ and the ISP’s understandings of the obligations. Our results also show that users’ interpretations—i.e., causal attribution of the breach and perceived fairness after the breach—moderate the relationship between user-perceived PCBs and feelings of violation. We discuss our findings and their academic and practical implications, and suggest directions for future research

    Investigation of Cutting Rock by TBM Hob using a SPG Method

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    TBM (tunnel boring machine) hob is the core component of the TBM for rock cutting, whose cutting performance can directly determine the overall tunneling efficiency of the TBM. The understanding of cutting rock caused by TBM hobs is still not enough due to the complex contact features between the TBM hob and rock. To study the dynamic cutting process of the TBM hobs deeply, the rock cutting numerical model of the TBM hob is built based on the SPG (smooth particle Galerkin) method, the influence of hob penetration and hob spacing on rock breaking dynamic process, rock cutting forces and specific energy consumption are investigated. The results indicate that the dynamic process of sequential cutting of TBM hobs can be simulated well, and the rock breaking patterns caused by TBM hobs can be reflected with the SPG method. It also shows that the cutting forces of the hob are positively correlated with the hob penetration and hob spacing. For a given hob penetration, there exists an optimum hob spacing to acquire the highest rock cutting efficiency. The hob penetrations of 5, 7, 9, and 11 mm correspond to the optimum hob spacing of 60, 80, 90, and 100 mm respectively. Finally, the simulated results based on the SPG method are verified by comparing the experimental results and the CSM model. This study can provide a new method for simulating the rock cutting dynamic process of the TBM hobs

    First-principles Investigation of Thermodynamic Properties of CrNbO4 and CrTaO4

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    In the present study, the DFT+U method was employed to predict the thermodynamic properties of Cr2O3, Nb2O5, and Ta2O5. Results were benchmarked with experimental data showing high accuracy, except for the negative thermal expansion (NTE) of Nb2O5, which is attributed to its polymorphic complexity. Additionally, we extended our analysis to rutile-type oxides CrNbO4 and CrTaO4, examining their entropy and heat capacity at finite temperatures. CrNbO4 displayed slightly higher entropy and heat capacity at high temperatures. The mean linear thermal expansion coefficients for CrNbO4 and CrTaO4 from 500 K to 2000 K were predicted to be 6.00*10-6/K and 13.49*10-6/K, respectively, corroborating with DFT predictions and experimental evidence. Our research highlights the precision of the DFT+U and phonon methods in predicting the thermodynamic properties of oxide materials, offering insights into the design of corrosion-resistant materials

    A Study of Classics-Reading Curriculum, Classics-Reading Promotion, and Classics-Reading Effect Modeling Exploration in Elementary Schools

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    The purposes of this study are to test reliabilities and validities of classics-reading curriculum (CRC) scale, classics-reading promotion (CRP) scale, and classics-reading effect (CRE) scale and to examine the relationships between CRC, CRP, and CRE in elementary schools through applying CORPS framework. The pilot sample and formal sample contain 141 and 500 participants from elementary school faculties and classics-reading volunteers in the north, central, south, and east regions of Taiwan. The findings indicate that Cronbach α coefficients of curriculum cognition (CC), curriculum teaching (CT), inside-school promotion (IP), outside-school promotion (EP), learning effect (LE), and class management effect (CME) subscales are .88, .85, .93, .91, .91, .94, respectively, through exploratory factor analysis and they have good internal reliabilities and construct validities, respectively, through confirmatory factor analysis. Moreover, CC, CT, IP, and EP have positive influences on LE (standardized coefficients .34, .25, .14, and .22) and on CME (standardized coefficients .41, .14, .14, and .20), respectively. CC, CT, IP, and EP can explain 69% of LE and 61% of CME. The model is supported by the data. Lastly, this study proposes some suggestions regarding the classics-reading education for elementary schools
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