2,526 research outputs found
Kusaiean-English Dictionary
Humanities Open Book Program, a joint initiative of the National Endowment for the Humanities and the Andrew W. Mellon FoundationKusaie is a small island in the middle of the Pacific Ocean, lying roughly midway between Pohnpei and the Marshalls. Its language is distinct from those of the other island groups of Micronesia, though it has many cognates with Marshallese.
Designed to be a companion volume to the author's Kusaiean reference grammar, this dictionary will be of use to anyone wanting to learn the Kusaiean language or to linguists involved in comparative and historical studies of Austronesian linguistics
NMR study on the stability of the magnetic ground state in MnCrO
The canting angles and fluctuation of the magnetic ion spins of spinel oxide
MnCrO were studied by nuclear magnetic resonance (NMR) at low
temperatures, which has a collinear ferrimagnetic order below and a
ferrimagnetic spiral order below . Contrary to previous reports,
only one spin canting angle of Cr ions was observed. The spin canting angles of
Mn and Cr ions in the ferrimagnetic spiral obtained at a liquid-He temperature
were 43\,^{\circ} and 110\,^{\circ}, respectively. The nuclear spin-spin
relaxation was determined by the Suhl-Nakamura interaction at low temperatures
but the relaxation rate increases rapidly as the temperature
approaches . This indicates that the fluctuation of the spiral component
becomes faster as the temperature increases but not fast enough to leave an
averaged hyperfine field to nuclei in the time scale of nuclear spin precession
in the ferrimagnetic phase, which is on the order of s. The spiral
volume fraction measured for various temperatures reveals that the collinear
and the spiral ferrimagnetic phases are mixed below the transition temperature
of the spiral order. The temperature hysteresis in the volume fraction implies
that this transition has first-order characteristics.Comment: 13 pages, 5 figure
Gating of memory encoding of time-delayed cross-frequency MEG networks revealed by graph filtration based on persistent homology
To explain gating of memory encoding, magnetoencephalography (MEG) was analyzed over multi-regional network of negative correlations between alpha band power during cue (cue-alpha) and gamma band power during item presentation (item-gamma) in Remember (R) and No-remember (NR) condition. Persistent homology with graph filtration on alpha-gamma correlation disclosed topological invariants to explain memory gating. Instruction compliance (R-hits minus NR-hits) was significantly related to negative coupling between the left superior occipital (cue-alpha) and the left dorsolateral superior frontal gyri (item-gamma) on permutation test, where the coupling was stronger in R than NR. In good memory performers (R-hits minus false alarm), the coupling was stronger in R than NR between the right posterior cingulate (cue-alpha) and the left fusiform gyri (item-gamma). Gating of memory encoding was dictated by inter-regional negative alpha-gamma coupling. Our graph filtration over MEG network revealed these inter-regional time-delayed cross-frequency connectivity serve gating of memory encoding
Inelastic scattering in a monolayer graphene sheet; a weak-localization study
Charge carriers in a graphene sheet, a single layer of graphite, exhibit much
distinctive characteristics to those in other two-dimensional electronic
systems because of their chiral nature. In this report, we focus on the
observation of weak localization in a graphene sheet exfoliated from a piece of
natural graphite and nano-patterned into a Hall-bar geometry. Much stronger
chiral-symmetry-breaking elastic intervalley scattering in our graphene sheet
restores the conventional weak localization. The resulting carrier-density and
temperature dependence of the phase coherence length reveal that the
electron-electron interaction including a direct Coulomb interaction is the
main inelastic scattering factor while electron-hole puddles enhance the
inelastic scattering near the Dirac point.Comment: 12 pages, 3 figures, submitted to PR
Indentations on Air Plasma Sprayed Thermal Barrier Coatings Prepared by Different Starting Granules
The effect of starting granules on the indentation properties of air plasma sprayed thermal barrier coatings (TBCs) is investigated in this paper. Various kinds of spray-dried granules are prepared from different processing conditions, especially varying solvent and dispersant, showing a deformed hollow-typed and a filled spherical-typed granule. The similar coating thicknesses are prepared by adjusting process parameters during air plasma spray. All XRD peaks in phase analysis are tetragonal and cubic phases without any monoclinic phase after the starting granules were heat-treated. A relatively porous microstructure of the coating layer could be obtained from the monodisperse granules, while a relatively dense microstructure resulted from the hollow-typed granules. The morphology and distribution of the granules crucially affect the microstructure of thermal barrier coatings and thus have influences on indentation properties such as indentation stress-strain curves, contact damage, and hardness. The implication concerning microstructure design of TBCs for gas turbine applications is considered
Computational models for the ultimate compressive strength analysis of a steel stiffened plate structure at cryogenic condition
See the pdf fil
A Spoken Dialogue Analysis Platform for Effective Counselling
This paper proposes a spoken dialogue analysis platform (SDAP) that could assist counsellors in person-to-person counselling by analysing counselling conversations and providing key information that could enhance the counsellors\u27 understanding of the counselees\u27 conditions and situations. The proposed platform has two main modules: a speech recognition module and a text analysis module that are specifically built for the Korean language. The speech recognition module uses NAVER CLOVA Speech service to convert voice recordings of counselling dialogues into text. The Korean text analysis environment of the text analysis module was built using NLTK, KoNLPy and scikit-learn library, and, for now, the module provides two types of text analysis: keyword analysis and sentiment analysis. The results of the text analyses that provide keywords and analysis of customers\u27 emotional state can help counsellors to provide appropriate feedback to the counselees easily and more quickly, making the counselling fast and effective and reducing the counselees\u27 waiting time. In the experiments, the text analysis module building process is elaborated in detail, and the usefulness of the proposed SDAP is exemplified by case studies on actual counselling conversations at a dental clinic and a fitness centre
- …