We performed electron spin resonance (ESR) measurements on two kinds of nickel chain compounds doped with nonmagnetic Zn2+ ions, Ni(333-tet)( -NO2)(ClO4) (333-tet=bis-(3-aminopropyl)-1,3-propanediamine) abbreviated as NTENP and Ni(1,3-pn)2( -NO2)(ClO4) (1,3-pn=1,3-propanediamine) abbreviated as NINO which are regarded as a spin (S) one Heisenberg antiferromagnetic bond alternating chain and a u...

An HMM-based single character recovery (SCR) model is proposed in this paper to extract a large set of atomic abbreviations and their full forms from a text corpus. By an ‘‘atomic abbreviation,’’ it refers to an abbreviated word consisting of a single Chinese character. This task is important since Chinese abbreviations cannot be enumerated exhaustively but the abbreviation process for compound...

In this paper, the problem of recovery of morphological information lost in abbreviated forms is addressed with a focus on highly inflected languages. Evidence is presented that the correct inflected form of an expanded abbreviation can in many cases be deduced solely from morphosyntactic tags of the context. The prediction model is a deep bidirectional LSTM network with tag embedding. The netw...

In this paper, we described our method for the expert search task in TREC 2008. First, we proposed an adaption to the language modeling method for expert search, which considers the probability of query generation separately using each kind of expert evidence (full name, abbreviated name, and email address). Current expert search models can be easily integrated into our method. Our experiments ...

In this paper, we propose a data-driven tuning method of internal model controllers (which is abbreviated as IMC) for nonlinear systems with hysteresis. We utilize fictitious reference iterative tuning (which is abbreviated as FRIT), which yields the desired controller parameter with only one-shot experimental data without any mathematical models of a plant, to obtain the desired parameter of t...