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

KEGG pathway enrichment analysis of lactoferrin and Coenzyme Q10 in sarcopenia. by Wenbin Wu (292223)

Transcriptome sequencing enriched sarcopenia related GO Biological process (BP) and Molecular function (MF). Enriched GO BP of DEGs. by Wenbin Wu (292223)

potential group size calculations based on earlier findings. by Haris Omić (21175546)

Subjects:

Comparison of data after the experiment. by Neng Pan (5262032)

Parameters used in the simulations. by Yongfeng Zhu (7361045)

“…<div><p>Particle morphology and size are fundamental characteristics that significantly influence the mechanical behavior of granular materials. …”

Two ellipsoidal particles in contact. by Yongfeng Zhu (7361045)

“…<div><p>Particle morphology and size are fundamental characteristics that significantly influence the mechanical behavior of granular materials. …”

Different contact patterns for two ellipsoids. by Yongfeng Zhu (7361045)

“…<div><p>Particle morphology and size are fundamental characteristics that significantly influence the mechanical behavior of granular materials. …”

Simulation datasets. by Xiao Mo (2430355)

“…Furthermore, the particle temperature decreases with smaller sizes. As the particle diameter rises from 10 μm to 100 μm, the minimum temperatures of the particles are 145 K and 264 K, respectively, indicating the need to match the particle diameter with the minimum temperature at which the drug particles remain effective. …”

<i>RR</i> of the spatial effect and distribution of hot-cold spots. by Weiwei Meng (304234)

SPIRIT-Study Workflow and Assessment Timeline with Primary and Secondary Endpoints. by Haris Omić (21175546)

Subjects:

Proposed work plan; 1) Blood and 24-hour urine tests including oxalate and citrate analysis, 2) Metabolomics analysis out of blood and urine samples. by Haris Omić (21175546)

Subjects:

Supplementary file 1_Quantitative microbial taxonomy across particle size, depth, and oxygen concentration.zip by Paulina Huanca-Valenzuela (21414911)

“…The microbial community varied statistically significantly as a function of particle size and depth. …”

Particle size distribution of the raw materials. by Chenchen Luo (20649067)

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. …”

Moran’s I value, Z value and P value of CCD-GFEE. 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. …”

Green finance index system. 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. …”

Temporal evolution of urban EE in western China. 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. …”

Spatial evolution trend of green finance index. 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. …”

CCD-GFEE driver index system. 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. …”