Glueball relevant study on isoscalars from Nf=2N_f=2 lattice QCD

We perform a glueball-relevant study on isoscalars based on anisotropic $N_f=2$ lattice QCD gauge configurations. In the scalar channel, we identify the ground state obtained through gluonic operators to be a single-particle state through its dispersion relation. When $q\bar{q}$ operator is included, we find the mass of this state does not change, and the $q\bar{q}$ operator couples very weakly to this state. So this state is most likely a glueball state. For pseudoscalars, along with the exiting lattice results, our study implies that both the conventional $q\bar{q}$ state $\eta_2$ (or $\eta'$ in flavor $SU(3)$) and a heavier glueball-like state with a mass of roughly 2.6 GeV exist in the spectrum of lattice QCD with dynamical quarks.Comment: 8 pages, 3 figures, 3 tables, talk presented at the 35th International Symposium on Lattice Field Theory, 18-24 June 2017, Granada, Spai

Damping identification for the nonlinear stiffness structure

The classical time domain and frequency domain methods of damping identification are not be suitable to the structures with nonlinear stiffness. Therefore, on the basis of modifying the classical half-power bandwidth method, this study presented a method to identify the damping of nonlinear stiffness structure. Based on the movement equation of structure, the identifying damping formulas were derived respectively for the structure with weak and strong stiffness nonlinearity. Furthermore, the correctness of the proposed formulas was verified with a numerical simulation example. Then, the test damping procedure was proposed for the above mentioned nonlinear stiffness system. At last, this procedure has been demonstrated using a hard coating specimen with soft nonlinearity and the damping parameters of structure were obtained under different exciting levels

Solubility Limits of Α'-SiAION Solid Solutions in the System Si,Al,Y/N,O

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66438/1/j.1151-2916.1991.tb06797.x.pd

Enhancing the learnability of Chinese–English dictionaries for Chinese as a foreign language learners: the neglected legacy of Robert Morrison in his compilation of Wuche Yunfu (1819)

In previous studies on learner lexicography, design features of both the content and presentation of learner's dictionaries are the two major research concerns. The quality assessment of learner's dictionaries also covers the two dimensions. Terms used for evaluating them are respectively "usability" or "availability" for the former and "findability" or "accessibility" for the latter. However, the lexicographical construction of "learnability", which takes into account the users' reference and learning needs, remains virtually unexplored either theoretically or practically. Compared to the features of dictionary design mentioned above, "learnability" as the design phi-losophy of learner lexicography is worth more serious consideration. The present paper aims at exploring the lexicographical notion of "learnability" by way of introducing the neglected legacy of Robert Morrison in his compilation of Wuche Yunfu (五车韵府) (1819)1, which is characterized by a high degree of learnability illustrated in the dictionary entries. Morrison's pioneering efforts may help with the conceptual clarification of "learnability" in compiling learner's dictionaries, bilingual ones in particular. Moreover, it is hoped that the recognition of Morrison's lexicographical practice will be beneficial to the future production of better Chinese–English dictionaries for non-native Chinese learners.Keywords: learnerability, learner lexicography, Chinese as a for foreign language learners, Wuche Yunfu, Chinese–English dictionaries, bilingua

Closed-loop control of complex networks : A trade-off between time and energy

W. L. is supported by the National Science Foundation of China (NSFC) (Grants No. 11322111 and No. 61773125). Y.-Z. S. is supported by the NSFC (Grant No. 61403393). Y.-C. L. acknowledges support from the Vannevar Bush Faculty Fellowship program sponsored by the Basic Research Office of the Assistant Secretary of Defense for Research and Engineering and funded by the Office of Naval Research through Grant No. N00014-16-1-2828. Y.-Z. S. and S.-Y. L. contributed equally to this work.Peer reviewedPublisher PD

Anticipating Daily Intention using On-Wrist Motion Triggered Sensing

Anticipating human intention by observing one's actions has many applications. For instance, picking up a cellphone, then a charger (actions) implies that one wants to charge the cellphone (intention). By anticipating the intention, an intelligent system can guide the user to the closest power outlet. We propose an on-wrist motion triggered sensing system for anticipating daily intentions, where the on-wrist sensors help us to persistently observe one's actions. The core of the system is a novel Recurrent Neural Network (RNN) and Policy Network (PN), where the RNN encodes visual and motion observation to anticipate intention, and the PN parsimoniously triggers the process of visual observation to reduce computation requirement. We jointly trained the whole network using policy gradient and cross-entropy loss. To evaluate, we collect the first daily "intention" dataset consisting of 2379 videos with 34 intentions and 164 unique action sequences. Our method achieves 92.68%, 90.85%, 97.56% accuracy on three users while processing only 29% of the visual observation on average