Graphs of surface roughness values of test specimens after testing with varying concentrations across different particle size groups (a) Ra, Rq (b) Rz (c) Sa, Sq (d) Sz, Sv. by Yang Li (7082)

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SEM image of 10-micron iron oxide particles. by Yang Li (7082)

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Particle size distribution of iron oxide. by Yang Li (7082)

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Relevant parameters of test piece. by Yang Li (7082)

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Graph of wear volume variation for test groups with different particle sizes at two concentrations. by Yang Li (7082)

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(a). Initial microscopic morphology map of test specimen surface. (b). Initial three-dimensional morphology map of test specimen surface. by Yang Li (7082)

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Graphical representation of surface roughness values on the specimen surface after tests conducted at different time intervals (a) Ra, Rq (b) Rz (c) Sa, Sq (d) Sz, Sp, Sv. by Yang Li (7082)

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Parameter diagram for the raised portions on the surface of the test specimen (a) Total volume (b) Total surface area (c) Average height (d) Cross-sectional area. by Yang Li (7082)

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Graph of friction coefficient variation for test groups with different particle sizes at two concentrations. by Yang Li (7082)

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Graph of surface roughness values of specimens after testing with different particle sizes at a concentration of 0.4 mg/mL (a) Ra, Rq (b) Rz (c) Sa, Sq (d) Sz, Sp, Sv. by Yang Li (7082)

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Graph of surface roughness values of specimens after testing with different particle sizes at a concentration of 4 mg/mL (a) Ra, Rq (b) Rz (c) Sa, Sq (d) Sz, Sp, Sv. by Yang Li (7082)

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Particle size distribution chart of 10-micron iron oxide particles. by Yang Li (7082)

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Graph of temperature rise variation for test groups with different particle sizes at two concentrations. by Yang Li (7082)

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Parameter diagram for pit features on the specimen surface (a) Volume (b) Surface Area (c) Depth (d) Cross-sectional area. by Yang Li (7082)

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Time evolution trend of green finance level. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Restricted cubic spline plots showing the association between changes in PAL and risk of CVD. by Haiwei Li (282229)

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MTT experiment shows that the seven MUT plasmids of NANOG protein can significantly inhibit the proliferation of colon cancer stem cells. by Yin Tian (181303)

Absolute β convergence results. by Ke Liu (121889)

“…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. …”

Conditional β convergence results. by Ke Liu (121889)

“…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…The results revealed that from 2010 to 2020, the population agglomeration level of the Xi’an metropolitan area showed a trend of first increasing and then decreasing. …”