Additional file 1 of Direct and accurate miRNA detection based on CRISPR/Cas13a-triggered exonuclease-iii-assisted colorimetric assay

Additional file 1. Table S1. Sequence information of nucleic acid

Additional file 1 of Difference in bypass for inpatient care and its determinants between rural and urban residents in China

Additional file 1. The population, gross regional product and landform of the sample counties and districts in 2018

Additional file 2 of Difference in bypass for inpatient care and its determinants between rural and urban residents in China

Additional file 2. Service capacity standard of Township/Community Health Service Center(2018 Edition)

Additional file 3 of Difference in bypass for inpatient care and its determinants between rural and urban residents in China

Additional file 3. Definitions, survey questions and categories of bypass for inpatient care and associated factors

Sensitivity and empirical FDR of the taxon-specific tests in analysis of simulated data with a confounder <i>X</i>_<i>i</i> (<i>β</i>_<i>XZ</i> = 0.8), 50% censoring, and <i>n</i> = 100.

The overdispersion parameter (“disp”) varied from 0.02, 0.002, to 0.0002. The results with overdispersion 0.02 are the same as those in Fig 1 (left column). (PDF)</p

Results for simulated data with 25% censoring and <i>n</i> = 100.

Results of sensitivity and empirical FDR were obtained when Xi was a confounder (βXZ = 0.8). (PDF)</p

Results for simulated data with 75% censoring and <i>n</i> = 100.

Results of sensitivity and empirical FDR were obtained when Xi was a confounder (βXZ = 0.8). (PDF)</p

Type I error of the global tests for simulated data with 50% censoring and <i>n</i> = 100.

Type I error of the global tests for simulated data with 50% censoring and n = 100.</p

Results for simulated data with 50% censoring and <i>n</i> = 50.

Results of sensitivity and empirical FDR were obtained when Xi was a confounder (βXZ = 0.8). (PDF)</p

Table1_Atmospheric CO2 Consumption by Chemical Weathering in the Main Tributaries of the Yellow River: Tao He, Huang Shui, and Datong He, Originating From the Northeastern Qinghai-Tibet Plateau.DOCX

The Tao He, Huang Shui, and Datong He originate from the northeastern margin of the Qinghai-Tibet Plateau (QTP) and flow into the Yellow River on the Loess Plateau (LP), all with a basin area exceeding 15,000 km2, and are the three largest tributaries of the Yellow River QTP sub-basin. Water samples were collected at the river outlets, the QTP section, the transition zone between the QTP and the LP, and the LP section of each river. These water samples were used to explore CO2 consumption by chemical weathering and its control mechanisms. Runoff and physical erosion are the main factors controlling chemical weathering in the three rivers. The increase of relief ratio in the transition zone between the QTP and the LP makes the chemical weathering particularly intense in this area. The total CO2 consumption rates by chemical weathering in the Tao He and Huang Shui transition zones are 1.4 times and 1.7 times greater than in their QTP sections, and 1.7 times and 2.3 times greater than in their LP sections, respectively. In contrast, due to the high relief ratio of 8‰ in the Datong He transition zone, the residence time of the water is extremely short, and unweathered fine-grained materials are delivered downstream to continue weathering. The influence of differential lithology distribution on chemical weathering includes that the Datong He QTP section with carbonate exposure presents the most intense carbonate weathering in that basin, and the Tao He transition zone has low silicate weathering resulting from the distribution of early Permian strata. In addition, groundwater recharge most likely influenced the silicate weathering of Huang Shui significantly. The total area of the three rivers accounts for 25% of the Yellow River QTP sub-basin, while their contribution to the total CO2 consumption flux by chemical weathering approximates 36%. The silicate weathering of the northern QTP rivers is lower than the global average and significantly lower than those of the southern QTP rivers. However, carbonate weathering of the QTP rivers exhibit no north-south regional differences.</p