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  • Brand : BIOFRON

  • Catalogue Number : BN-O0926

  • Specification : 98%(HPLC)

  • CAS number : 23599-47-5

  • Formula : C15H22O2

  • Molecular Weight : 234.33

  • PUBCHEM ID : 12303261

  • Volume : 5mg

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For Reference Standard and R&D, Not for Human Use Directly.

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provides coniferyl ferulate(CAS#:23599-47-5) MSDS, density, melting point, boiling point, structure, formula, molecular weight etc. Articles of coniferyl ferulate are included as well.>> amp version: coniferyl ferulate

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Coral spawning times have been linked to multiple environmental factors; however, to what extent these factors act as generalized cues across multiple species and large spatial scales is unknown. We used a unique dataset of coral spawning from 34 reefs in the Indian and Pacific Oceans to test if month of spawning and peak spawning month in assemblages of Acropora spp. can be predicted by sea surface temperature (SST), photosynthetically available radiation, wind speed, current speed, rainfall or sunset time. Contrary to the classic view that high mean SST initiates coral spawning, we found rapid increases in SST to be the best predictor in both cases (month of spawning: R2 = 0.73, peak: R2 = 0.62). Our findings suggest that a rapid increase in SST provides the dominant proximate cue for coral mass spawning over large geographical scales. We hypothesize that coral spawning is ultimately timed to ensure optimal fertilization success.


phenology, reproduction, biogeography, macroecology, Acropora, Indo-Pacific


Coral mass spawning predicted by rapid seasonal rise in ocean temperature


Sally A. Keith,1,2 Jeffrey A. Maynard,3,4 Alasdair J. Edwards,5 James R. Guest,6 Andrew G. Bauman,7 Ruben van Hooidonk,8,9 Scott F. Heron,10,11 Michael L. Berumen,12 Jessica Bouwmeester,12,13 Srisakul Piromvaragorn,14 Carsten Rahbek,1,15 and Andrew H. Baird2

Publish date

2016 May 11;




Our purpose was to analyze associations between apparent diffusion coefficient (ADC) histogram analysis parameters and histopathologicalfeatures in head and neck squamous cell carcinoma (HNSCC).

The study involved 32 patients with primary HNSCC. For every tumor, the following histogram analysis parameters were calculated: ADCmean, ADCmax, ADCmin, ADCmedian, ADCmode, P10, P25, P75, P90, kurtosis, skewness, and entropy. Furthermore, proliferation index KI 67, cell count, total and average nucleic areas were estimated. Spearman’s correlation coefficient (p) was used to analyze associations between investigated parameters.

In overall sample, all ADC values showed moderate inverse correlations with KI 67. All ADC values except ADCmax correlated inversely with tumor cellularity. Slightly correlations were identified between total/average nucleic area and ADCmean, ADCmin, ADCmedian, and P25.

In G1/2 tumors, only ADCmode correlated well with Ki67. No statistically significant correlations between ADC parameters and cellularity were found.

In G3 tumors, Ki 67 correlated with all ADC parameters except ADCmode. Cell count correlated well with all ADC parameters except ADCmax. Total nucleic area correlated inversely with ADCmean, ADCmin, ADCmedian, P25, and P90.

ADC histogram parameters reflect proliferation potential and cellularity in HNSCC. The associations between histopathology and imaging depend on tumor grading.


MRI, ADC, histogram analysis, KI 67, HNSCC


Histogram analysis parameters of apparent diffusion coefficient reflect tumor cellularity and proliferation activity in head and neck squamous cell carcinoma


Alexey Surov,#1 Hans Jonas Meyer,#1 Karsten Winter,2 Cindy Richter,2 and Anna-Kathrin Hoehn3

Publish date

2018 May 4;




Because pregnancy complications, including gestational diabetes mellitus (GDM) and hypertensive disorders in pregnancy, are risk factors for diabetes and cardiovascular disease, post-delivery follow-up is recommended.

To determine predictors of post-delivery primary and obstetric care utilization in women with and without medical complications.

Five-year retrospective cohort study using commercial and Medicaid insurance claims in Maryland.

7,741 women with a complicated pregnancy (GDM, hypertensive disorders and pregestational diabetes mellitus [DM]) and 23,599 women with a comparison pregnancy.

We compared primary and postpartum obstetric care utilization rates in the 12 months after delivery between the complicated and comparison pregnancy groups. We conducted multivariate logistic regression to assess the association between pregnancy complications, sociodemographic predictor variables and utilization of care, stratified by insurance type.

Women with a complicated pregnancy were older at delivery (p < 0.001), with higher rates of cesarean delivery (p < 0.0001) and preterm labor or delivery (p < 0.0001). Among women with Medicaid, 56.6 % in the complicated group and 51.7 % in the comparison group attended a primary care visit. Statistically significant predictors of receiving a primary care visit included non-Black race, older age, preeclampsia or DM, and depression. Among women with commercial health insurance, 60.0 % in the complicated group and 49.5 % in the comparison group attended a primary care visit. Pregnancy complication did not predict a primary care visit among women with commercial insurance. CONCLUSIONS Women with pregnancy complications were more likely to attend primary care visits post-delivery compared to the comparison group, but overall visit rates were low. Although Medicaid expansion has potential to increase coverage, innovative models for preventive health services after delivery are needed to target women at higher risk for chronic disease development. Electronic supplementary material The online version of this article (doi:10.1007/s11606-013-2744-2) contains supplementary material, which is available to authorized users.


pregnancy, utilization of care, primary care, gestational diabetes mellitus, hypertension


Utilization of Primary and Obstetric Care After Medically Complicated Pregnancies: An Analysis of Medical Claims Data


Wendy L. Bennett, MD, MPH,corresponding author Hsien-Yen Chang, PhD, MHS, David M. Levine, MD, ScD, Lin Wang, PhD, Donna Neale, MD, Erika F. Werner, MD, MS, and Jeanne M. Clark, MD, MPH

Publish date

2014 Apr

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