Percentage of clients receiving quality of care items, percentage of providers with training, and percentage of facilities with above average reports of process quality of care items.

Percentage of clients receiving quality of care items, percentage of providers with training, and percentage of facilities with above average reports of process quality of care items.</p

Percentage of facilities providing family planning with structure quality of care items.

Percentage of facilities providing family planning with structure quality of care items.</p

Percent of facilities scored as high quality by scoring mechanism and background characteristic.

Percent of facilities scored as high quality by scoring mechanism and background characteristic.</p

Percent distribution of facilities with family planning services by facility characteristics.

Percent distribution of facilities with family planning services by facility characteristics.</p

Loadings of the first component of a PCA, eigenvalue, and % of variance explained.

Loadings of the first component of a PCA, eigenvalue, and % of variance explained.</p

Percent agreement and Cohen's kappa coefficient among three quality of care scores among health facilities providing family planning services in Haiti, Malawi, and Tanzania.

Percent agreement and Cohen's kappa coefficient among three quality of care scores among health facilities providing family planning services in Haiti, Malawi, and Tanzania.</p

Capture of Trace Sulfur Gases from Binary Mixtures by Single-Walled Carbon Nanotube Arrays: A Molecular Simulation Study

Adsorption of H2S and SO2 pure gases and their selective capture from the H2S-CH4, H2S-CO2, SO2-N2, and SO2-CO2 binary mixtures by the single-walled carbon nanotubes (SWNT) are investigated via using the grand canonical Monte Carlo (GCMC) method. It is found that the (20, 20) SWNT with larger diameter shows larger capacity for H2S and SO2 pure gases at T = 303 K, in which the uptakes reach 16.31 and 16.03 mmol/g, respectively. However, the (6,6) SWNT with small diameter exhibits the largest selectivity for binary mixtures containing trace sulfur gases at T = 303 K and P = 100 kPa. By investigating the effect of pore size on the separation of gas mixtures, we found that the optimized pore size is 0.81 nm for separation of H2S-CH4, H2S-CO2, and SO2-N2 binary mixtures, while it is 1.09 nm for the SO2-CO2 mixture. The effects of concentration and temperature on the selectivity of sulfide are also studied at the optimal pore size. It is found that the concentration (ppm) of sulfur components has little effect on selectivity of SWNTs for these binary mixtures. However, the selectivity decreases obviously with the increase of temperature. To improve the adsorption capacities, we further modify the surface of SWNTs with the functional groups. The selectivities of H2S-CO2 and SO2-CO2 mixtures are basically uninfluenced by the site density, while the increase of site density can improve the selectivity of H2S-CH4 mixture doubly. It is expected that this work could provide useful information for sulfur gas capture

Table_2_Expression patterns of eight RNA-modified regulators correlating with immune infiltrates during the progression of osteoarthritis.docx

BackgroundRNA modifications in eukaryotic cells have emerged as an exciting but under-explored area in recent years and are considered to be associated with many human diseases. While several studies have been published relating to m6A in osteoarthritis (OA), we only have limited knowledge of other kinds of RNA modifications. Our study investigated eight RNA modifiers’ specific roles in OA including A-to-I, APA, m5C, m6A, m7G, mcm5s2U, Nm and Ψ together with their relationship with immune infiltration.MethodsRNA modification patterns in OA samples were identified based on eight-type RNA modifiers and their correlation with the degree of immune infiltration was also methodically investigated. Receiver operating characteristic curves (ROC) and qRT-PCR was performed to confirm the abnormal expression of hub genes. The RNA modification score (Rmscore) was generated by the applications of principal component analysis (PCA) algorithm in order to quantify RNA modification modes in individual OA patients.ResultsWe identified 21 differentially-expressed RNA modification related genes between OA and healthy samples. For example, CFI, CBLL1 and ALKBH8 were expressed at high levels in OA (PConclusionsOur study was the first to systematically reveal the crosstalk and dysregulations eight-type of RNA modifications in OA. Assessing individuals’ RNA modification patterns will be conductive to enhance our understanding of the properties of immune infiltration, provide novel diagnostic and prognostic biomarkers, and guide more effective immunotherapy strategies in the future.</p

Table_1_Expression patterns of eight RNA-modified regulators correlating with immune infiltrates during the progression of osteoarthritis.pdf

BackgroundRNA modifications in eukaryotic cells have emerged as an exciting but under-explored area in recent years and are considered to be associated with many human diseases. While several studies have been published relating to m6A in osteoarthritis (OA), we only have limited knowledge of other kinds of RNA modifications. Our study investigated eight RNA modifiers’ specific roles in OA including A-to-I, APA, m5C, m6A, m7G, mcm5s2U, Nm and Ψ together with their relationship with immune infiltration.MethodsRNA modification patterns in OA samples were identified based on eight-type RNA modifiers and their correlation with the degree of immune infiltration was also methodically investigated. Receiver operating characteristic curves (ROC) and qRT-PCR was performed to confirm the abnormal expression of hub genes. The RNA modification score (Rmscore) was generated by the applications of principal component analysis (PCA) algorithm in order to quantify RNA modification modes in individual OA patients.ResultsWe identified 21 differentially-expressed RNA modification related genes between OA and healthy samples. For example, CFI, CBLL1 and ALKBH8 were expressed at high levels in OA (PConclusionsOur study was the first to systematically reveal the crosstalk and dysregulations eight-type of RNA modifications in OA. Assessing individuals’ RNA modification patterns will be conductive to enhance our understanding of the properties of immune infiltration, provide novel diagnostic and prognostic biomarkers, and guide more effective immunotherapy strategies in the future.</p

Summary of domains and indicators used to create indices of quality of care [28].

Summary of domains and indicators used to create indices of quality of care [28].</p