4,229 research outputs found
Tailoring excitonic states of van der Waals bilayers through stacking configuration, band alignment and valley-spin
Excitons in monolayer semiconductors have large optical transition dipole for
strong coupling with light field. Interlayer excitons in heterobilayers, with
layer separation of electron and hole components, feature large electric dipole
that enables strong coupling with electric field and exciton-exciton
interaction, at the cost that the optical dipole is substantially quenched (by
several orders of magnitude). In this letter, we demonstrate the ability to
create a new class of excitons in transition metal dichalcogenide (TMD) hetero-
and homo-bilayers that combines the advantages of monolayer- and
interlayer-excitons, i.e. featuring both large optical dipole and large
electric dipole. These excitons consist of an electron that is well confined in
an individual layer, and a hole that is well extended in both layers, realized
here through the carrier-species specific layer-hybridization controlled
through the interplay of rotational, translational, band offset, and
valley-spin degrees of freedom. We observe different species of such
layer-hybridized valley excitons in different heterobilayer and homobilayer
systems, which can be utilized for realizing strongly interacting
excitonic/polaritonic gases, as well as optical quantum coherent controls of
bidirectional interlayer carrier transfer either with upper conversion or down
conversion in energy
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading
The use of visually-rich documents (VRDs) in various fields has created a
demand for Document AI models that can read and comprehend documents like
humans, which requires the overcoming of technical, linguistic, and cognitive
barriers. Unfortunately, the lack of appropriate datasets has significantly
hindered advancements in the field. To address this issue, we introduce
\textsc{DocTrack}, a VRD dataset really aligned with human eye-movement
information using eye-tracking technology. This dataset can be used to
investigate the challenges mentioned above. Additionally, we explore the impact
of human reading order on document understanding tasks and examine what would
happen if a machine reads in the same order as a human. Our results suggest
that although Document AI models have made significant progress, they still
have a long way to go before they can read VRDs as accurately, continuously,
and flexibly as humans do. These findings have potential implications for
future research and development of Document AI models. The data is available at
\url{https://github.com/hint-lab/doctrack}.Comment: 14 pages, 8 figures, Accepted by Findings of EMNLP202
Evapotranspiration and its components over a rainfed spring maize cropland under plastic film on the Loess Plateau, China
Aim of study: To determine seasonal variations in evapotranspiration (ET) and its components; and ascertain the key factors controlling ET and its components in a rainfed spring maize field under plastic film.Area of study: Shouyang County in Shanxi Province on the eastern Loess Plateau, ChinaMaterial and methods: Eddy covariance system combined with micro-lysimeters and meteorological observing instruments were used in the field. The manual method was used to measure the green leaf area index (GLAI) during the growing season.Main results: In 2015 and 2016, the growing season ET accounted for 80% and 79% of annual ET, respectively. Soil evaporation (E) accounted for 36% and 33% of the growing season ET in 2015 and 2016, respectively. The daily crop coefficient increased with increasing GLAI until a threshold of ~3 m2 m−2 in the canopy-increasing stage, and decreased linearly with decreasing GLAI in the canopy-decreasing stage. At equivalent GLAI, daily basal crop coefficient and soil water evaporation coefficient were generally higher in the canopy-increasing and -decreasing stages, respectively. During the growing season, the most important factor controlling daily ET, T, and E was net radiation (Rn), followed by GLAI for daily ET and T, and soil water content at 10-cm depth for daily E; during the non-growing season, daily ET was mainly controlled by Rn.Research highlights: The daily crop coefficient and its components reacted differently to GLAI in the canopy-increasing and -decreasing stages
Mutation of SLC35D3 causes metabolic syndrome by impairing dopamine signaling in striatal D1 neurons
We thank Dr. Ya-Qin Feng from Shanxi Medical University, Dr. Tian-Yun Gao from Nanjing University and Dr. Yan-Hong Xue from Institute of Biophysics (CAS) for technical assistance in this study. We are very thankful to Drs. Richard T. Swank and Xiao-Jiang Li for their critical reading of this manuscript and invaluable advice. Funding: This work was partially supported by grants from National Basic Research Program of China (2013CB530605; 2014CB942803), from National Natural Science Foundation of China 1230046; 31071252; 81101182) and from Chinese Academy of Sciences (KSCX2-EW-R-05, KJZD-EW-L08). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Peer reviewedPublisher PD
Systematic study of proton radioactivity half-lives based on the relationship between the Skyrme-Hartree-Fock and the macroscopic quantities of nuclear matter
In the present work, we systematically study the proton radioactivity
half-lives of 33 spherical nuclei based on the relationship between the Skyrme
parameters and the macroscopic quantities of nuclear matter. Using the
two-potential approach with the spherical Skyrme-Hartree-Fock model, the
correlation between proton radioactivity half-life and macroscopic quantities
was analyzed. Moreover, we obtained a new Skyrme parameter set by fitting the
two most weighted macroscopic quantities. Compared with Skyrme parameters MSL0
and the theoretical model of proton radioactivity UDLP, the theoretical proton
radioactivity half-life calculated by the new Skyrme parameter set can better
reproduce the experimental data.Comment: 8 pages, 3 figure
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