170 research outputs found
Asteroseismic Modeling of 1,153 Kepler Red Giant Branch Stars: Improved Stellar Parameters with Gravity-Mode Period Spacings and Luminosity Constraints
This paper reports estimated stellar parameters of 1,153 Kepler red giant
branch stars determined with asteroseismic modeling. We use radial-mode
oscillation frequencies, gravity-mode period spacings, Gaia luminosities, and
spectroscopic data to characterize these stars. Compared with previous studies,
we find that the two additional observed constraints, i.e., the gravity-mode
period spacing and luminosity, significantly improve the precision of
fundamental stellar parameters. The typical uncertainties are 2.9% for the
mass, 11% for the age, 1.0% for the radius, 0.0039 dex for the surface gravity,
and 0.5\% for the helium core mass, making this the best-characterized large
sample of red-giant stars available to date. With better characterizations for
these red giants, we recalibrate the seismic scaling relations and study the
surface term on the red-giant branch. We confirm that the surface term depends
on the surface gravity and effective temperature, but there is no significant
correlation with metallicity.Comment: Accepted by Ap
Reaching the last mile: best practices in leveraging the power of ICTs to communicate climate services to farmers at scale
This report reviews key ICTs for Development (ICT4D) Programs, Innovations and
Information Exchange Platforms which are experimented within South Asia to
explore the use and scale-ability of these innovative approaches to other parts of
Africa and the developing world. Learning from the pioneering experiences of pilot
projects across India and Africa in ICT development, we assess the potential ICTs
offer to not only communicate climate information and related advisory services but
also to build capacity and increase the resilience of rural smallholders. It is our hope
that such South-South learning can pave the way for improved cross-regional
experience sharing to tackle common challenges in reaching ‘the last mile’ with
salient rural extension services, including climate information services
Locally constrained curvature flows and geometric inequalities in hyperbolic space
In this paper, we first study the locally constrained curvature flow of
hypersurfaces in hyperbolic space, which was introduced by Brendle, Guan and Li
[7]. This flow preserves the th quermassintegral and decreases th
quermassintegral, so the convergence of the flow yields sharp
Alexandrov-Fenchel type inequalities in hyperbolic space. Some special cases
have been studied in [7]. In the first part of this paper, we show that
h-convexity of the hypersurface is preserved along the flow and then the smooth
convergence of the flow for h-convex hypersurfaces follows. We then apply this
result to establish some new sharp geometric inequalities comparing the
integral of th Gauss-Bonnet curvature of a smooth h-convex hypersurface to
its th quermassintegral (for ), and comparing the
weighted integral of th mean curvature to its th quermassintegral (for
). In particular, we give an affirmative answer to a
conjecture proposed by Ge, Wang and Wu in 2015.
In the second part of this paper, we introduce a new locally constrained
curvature flow using the shifted principal curvatures. This is natural in the
context of h-convexity. We prove the smooth convergence to a geodesic sphere of
the flow for h-convex hypersurfaces, and provide a new proof of the geometric
inequalities proved by Andrews, Chen and the third author of this paper in
2018. We also prove a family of new sharp inequalities involving the weighted
integral of th shifted mean curvature for h-convex hypersurfaces, which as
application implies a higher order analogue of Brendle, Hung and Wang's [8]
inequality.Comment: 38 pages, accepted version for Mathematische Annalen, add Corollary
1.10 to describe the application of the new locally constrained flow (1.11
Analysis of the Accumulation of Major Aroma Components in Japanese Apricot Fruit (Prunus mume Siebold et Zucc.) during Ripening
The major characteristic aroma components of Japanese apricot fruit grown in Dayi county, Sichuan Province were determined by headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS) based on odor activity values (OAVs). The pattern of accumulation of the major aroma components was investigated by analysis of aroma precursors and their correlation with climate factors was analyzed. The results showed that ethyl butyrate, β-myrcene, ethyl 3-methyl-butyrate, benzaldehyde and nonanal were the major characteristic aroma substances of Japanese apricot fruit, and C6 and C9 compounds were the major aroma components. C6 aroma substances had a high correlation with unsaturated fatty acid precursors. There was a positive correlation between the synthesis of C6 and C9 aroma substances. Climate significantly affected aroma accumulation during fruit ripening. Precipitation was the key factor affecting the content of C6 substances in the early ripening stage, mainly affecting the accumulation of bound hexenol. At the late stage of maturity, air temperature had a great influence on the content of free substances such as hexanol and hexanoic acid. These results provide a basis for follow-up research to analyze the flavor and quality of processed Japanese apricot fruit, explore the effects of climate factors on Japanese apricot fruit and its products, and identify the production region of raw materials and processed products for flavor evaluation
Recommended from our members
Transcription factor-pathway co-expression analysis reveals cooperation between SP1 and ESR1 on dysregulating cell cycle arrest in non-hyperdiploid multiple myeloma
Multiple myeloma is a hematological cancer of plasma B-cells and remains incurable. Two major subtypes of myeloma, hyperdiploid (HMM) and non-hyperdiploid myeloma (NHMM), have distinct chromosomal alterations and different survival outcomes. Transcription factors (TrFs) have been implicated in myeloma oncogenesis but their dysregulation in myeloma subtypes are less studied. Here we develop a TrF-pathway co-expression analysis to identify altered co-expression between two sample types. We apply the method to the two myeloma subtypes and the cell cycle arrest pathway, which is significantly differentially expressed between the two subtypes. We find that TrFs MYC, NF-κB and HOXA9 have significantly lower co-expression with cell cycle arrest in HMM, co-occurring with their over-activation in HMM. In contrast, TrFs ESR1, SP1 and E2F1 have significantly lower co-expression with cell cycle arrest in NHMM. SP1 ChIP targets are enriched by cell cycle arrest genes. These results motivate a cooperation model of ESR1 and SP1 in regulating cell cycle arrest, and a hypothesis that their over-activation in NHMM disrupts proper regulation of cell cycle arrest. Co-targeting ESR1 and SP1 shows a synergistic effect on inhibiting myeloma proliferation in NHMM cell lines. Therefore, studying TrF-pathway co-expression dysregulation in human cancers facilitates forming novel hypotheses towards clinical utility
- …