Six-month follow-up of pain scales and disability indexes. by Chien-Hua Chen (558598)

S1 Data - by Julian Burtniak (15314522)

Realistic applications of merging and integration methods on multiple CRC metagenomic datasets and TB gene expression datasets using RF classifiers with average AUC socres from six... by Yilin Gao (4335571)

Subjects:

Realistic applications of merging and integration methods on multiple CRC metagenomic datasets and TB gene expression datasets using LASSO classifiers with average AUC socres from... by Yilin Gao (4335571)

Subjects:

Realistic applications of merging and integration methods on multiple CRC metagenomic datasets and TB gene expression datasets using XGBoost classifiers with average AUC socres fro... by Yilin Gao (4335571)

Subjects:

Realistic applications of merging and integration methods on multiple CRC metagenomic datasets and TB gene expression datasets using SVM classifiers with average AUC socres from si... by Yilin Gao (4335571)

Subjects:

Data_Sheet_1_Warming Climate Is Reducing the Diversity of Dominant Microbes in the Largest High Arctic Lake.PDF by Graham A. Colby (7070513)

(A) Growth of <i>M</i>. <i>smegmatis ΔFtsEX</i> cells with rifampicin [350 μg/ml] with the time interval between consecutive microdialysis steps doubled to 2 hours—across the various microdialyser growth chambers sizes—1700pL (red curves), 1200pL (green), 500pL (blue) and 200pL (black). The growth curves on the right represent the average cell density of the individual reactors shown on the left. With the slower dilution rate, the cell populations in the larger reactors become more tolerant to rifampicin in accordance to the reactor volume: the fraction of reactors with growth decreases as the volume increases.... by Brilliant B. Luthuli (785964)

“…Five of six 200pL cultures and among the larger cultures, only one of the eight 500pL cultures tolerated rifampicin (red circles). …”

Observed range of dental complexity for six genera. by Kiana Christensen (11419667)

Baseline characteristics of the US population ages 64 and 66 years by income level¹. by Rahul Aggarwal (4428457)

Fig 1 - by Seraphine Zeitouny (16954499)

Subjects:

The model develops larger place fields with shallower phase precession in areas of higher running speed. by Eloy Parra-Barrero (15461005)

Association of Medicare eligibility and enrollment with financial strain due to medical bills by income level¹. by Rahul Aggarwal (4428457)

A summary of the included study characteristics. by Zahra Tajik (20752452)

“…The results show that one month after the NSPT, there was no significant difference in the mean visfatin level of GCF (SMD: -3.91, 95%CI: -9.83, 2.01, p = 0.195, I-square, 96.6%, random effect model, n = 2) and serum (SMD: -0.33, 95%CI: -0.98, 0.33, p = 0.332, fixed effect model, n = 1), but 2, 3 and 6 months after NSPT, the mean visfatin level of GCF and serum decreased significantly. There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”

Trend of the composite indicator for six technological fields that are the most important for medical SB-SNPRs. by Anthony F. J. van Raan (7517696)

Classification table of vegetation coverage. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”

Vegetation coverage growth trend grading. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”

Information of Landsat data for validation. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”

Information of GaoFen data selected. by Ziheng Song (14380161)

“…The Open-pit mining affected areas showed the largest decline, reaching 68.3%. The <i>FVC</i> in the underground mining areas had a downward trend, but self-healing effect after mining was also observed. (2) The overall <i>FVC</i> in the study area was positively correlated with the number of precipitation days. (3) There were differences in the sensitivity to mining disturbance for different landform in the underground mining areas. (4) Although the <i>FVC</i> in the Old mining areas had recovered to the level of Natural growth control area, but the annual fluctuation was larger, which might mean lower ecological stability.…”

Confirmatory factor analysis for the six-factor model of the VIJS. by Thuy Thi Phuong Nguyen (14059656)