LP02.mp4

This video shows the evolution of the amplified signal mode (LP02) patterns in few mode erbium doped fiber amplifier when tuning the signal wavelength from 1565 nm to 1530 nm

LP03.mp4

This video shows the evolution of the amplified signal mode (LP03) patterns in few mode erbium doped fiber amplifier when bending the DC-EDF

LP41.mp4

This video shows the evolution of the amplified signal mode (LP41) patterns in few mode erbium doped fiber amplifier when bending the DC-EDF

LP01.mp4

This video shows the evolution of the amplified signal mode (LP01) patterns in few mode erbium doped fiber amplifier when tuning the signal wavelength from 1565 nm to 1530 nm

LP22.mp4

This video shows the evolution of the amplified signal mode (LP22) patterns in few mode erbium doped fiber amplifier when tuning the signal wavelength from 1565 nm to 1530nm

Prevalence of diabetes (A and B) and prediabetes (C and D) by Finnish Diabetes Risk Score (FINDRISC) by gender and race/ethnicity, in US men and women aged 20 years or above, NHANES 1999–2010.

<p>The prevalence of diabetes (including diagnosed and undiagnosed diabetes) was calculated among all participants; the prevalence of prediabetes was calculated among participants excluding the diagnosed and undiagnosed diabetes.</p

Sensitivity, specificity, positive predictive value, negative predictive value and distance in ROC of FINDRISC cutoffs in identifying undiagnosed diabetes^* and prediabetes^† in US men and women aged 20 years or above, NHANES 1999–2010.

<p>Data are percentages (%).</p>*<p>Detecting undiagnosed diabetes among all participants with complete FINDRISC information;</p>†<p>Detecting prediabetes among participants with complete FINDRISC excluding undiagnosed diabetes;</p>‡<p>Sensitivity; ^§Specificity;</p>∥<p>Sum of sensitivity and specificity;</p>¶<p>Positive predictive value;</p>#<p>Negative predictive value;</p>**<p>Distance in ROC curve = .</p

Receiver operating characteristic (ROC) curve for identifying undiagnosed diabetes (A and B) and prediabetes (C and D) by gender and race/ethnicity in US men and women aged 20 years or above, NHANES 1999–2010.

<p>Receiver operating characteristic (ROC) curve for identifying undiagnosed diabetes (A and B) and prediabetes (C and D) by gender and race/ethnicity in US men and women aged 20 years or above, NHANES 1999–2010.</p

Penicyclones A–E, Antibacterial Polyketides from the Deep-Sea-Derived Fungus <i>Penicillium</i> sp. F23‑2

Five new ambuic acid analogues, penicyclones A–E (<b>1</b>–<b>5</b>), were isolated from the extract of the deep-sea-derived fungus <i>Penicillium</i> sp. F23-2. The structures including the absolute configurations were established by interpretation of NMR and MS data, as well as the application of ECD, X-ray crystallography, and a chemical conversion, as well as the TDDFT-ECD calculations. Penicyclones A–E (<b>1</b>–<b>5</b>) exhibited antimicrobial activity against the Gram-positive bacterium <i>Staphylococcus aureus</i> with MIC values ranging from 0.3 to 1.0 μg/mL

Silver-Catalyzed Decarboxylative Trifluoromethylation of Aliphatic Carboxylic Acids

The silver-catalyzed decarboxylative trifluoromethylation of aliphatic carboxylic acids is described. With AgNO₃ as the catalyst and K₂S₂O₈ as the oxidant, the reactions of aliphatic carboxylic acids with (bpy)­Cu­(CF₃)₃ (bpy = 2,2′-bipyridine) and ZnMe₂ in aqueous acetonitrile at 40 °C afford the corresponding decarboxylative trifluoromethylation products in good yield. The protocol is applicable to various primary and secondary alkyl carboxylic acids and exhibits wide functional group compatibility. Mechanistic studies reveal the intermediacy of ^–Cu­(CF₃)₃Me, which undergoes reductive elimination and subsequent oxidation to give Cu­(CF₃)₂ as the active species responsible for the trifluoromethylation of alkyl radicals