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.…”

Nightlight densities in the lowest, around the median and the highest ranked cities in the sample and the distribution of firms in each city. by Saul Estrin (8629173)

Largest twenty coefficients by absolute value as defined by logistic regression. by Roshan Karri (11060943)

Blocking the MAPK pathway with UO126 decreases jagged expression and migratory ability. by Megan K. Fentress (17304814)

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

Population changes of <i>M</i>. <i>bavaricum</i> (a) and cocci (b) in Earth’s field (red symbols), zero field (black symbols) and alternating field (blue symbols) as a function of... by Xuegang Mao (599968)

Association of Medicare eligibility and enrollment with healthcare access by income level¹. by Rahul Aggarwal (4428457)

Association of Medicare eligibility and enrollment with prescription medications by income level¹. by Rahul Aggarwal (4428457)

Fig 1 - by Vianney Guibourd de Luzinais (16871842)

Phase 1 pre- and post-test Means (<i>M</i>), Standard Deviations (<i>SD</i>), between group effect sizes (<i>d</i>), and RMANOVA results (<i>F</i>-value, <i>p</i>-value) for interv... by Wendy C. Crone (2262169)

Percentage of exhale flux penetrating through the mask fabric for different values of <i>c</i>_<i>k</i>; a–c and d–f decreasing porosity for outward and inward protection... by Akshay Anand (118579)

Backbone Isomerization to Enhance Thermal Stability and Decrease Mechanical Sensitivities of 10 Nitro-Substituted Bipyrazoles by Jingwei Meng (91923)

Backbone Isomerization to Enhance Thermal Stability and Decrease Mechanical Sensitivities of 10 Nitro-Substituted Bipyrazoles by Jingwei Meng (91923)

Backbone Isomerization to Enhance Thermal Stability and Decrease Mechanical Sensitivities of 10 Nitro-Substituted Bipyrazoles by Jingwei Meng (91923)

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

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

S1 Data - by Julian Burtniak (15314522)

“…We sought to conduct an analysis of SARS-CoV-2 pooling schemes to determine the sensitivity of various sized Dorfman pooling strategies and evaluate the utility of using such pooling strategies in diagnostic laboratory settings. Overall, a trend of decreasing sensitivity with larger pool sizes was observed, with modest sensitivity losses in the largest pools tested, and high sensitivity in all other pools. …”

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