Wheat distribution and bioclimatic factors for 2041–2060. by Khalifa M. Al-Kindi (3719854)

Microscopic morphology structure of asphalt samples before and after aging and recycling. by Ying Fang (147352)

DSC test results of recycled asphalt samples. by Ying Fang (147352)

MaxEnt-generated wheat suitability maps (Esri ArcGIS Pro 2024) with classification predicted for different period of time (the wheat distribution is given between brackets). by Khalifa M. Al-Kindi (3719854)

The effect of BRA dosage on the <i>J</i>_<i>nr</i> value of aged asphalt. by Ying Fang (147352)

Relationship of risk score with immune status. by Yajia Chen (20685780)

Analysis of the correlation between LDHA expression and clinical characteristics. by Siyu Yuan (7425719)

Data processing and predictive model construction. by Yajia Chen (20685780)

Factors associated with the <i>SS</i> Positives. by Anuradha Rajamanickam (5278013)

“…<div><p><i>Strongyloides stercoralis (Ss)</i> is a parasitic infection affecting 50–100 million people globally, with significant immune and metabolic consequences, particularly in immunocompromised individuals. …”

Expression of high-risk CRLs and co-expression CRGs in the GBM cuproptosis model. by Yajia Chen (20685780)

The addition of the residual with the second intrinsic mode function (IMF) based on ensemble empirical mode decomposition (EEMD) analysis to place the EEMD results in context with... by Jose Dominick Guballa (19739909)

The p21 ELISA assay was used to assess the effects of MBC-005 on tumor cell expression of p21. by Bryan S. Margulies (21492667)

Spectral analysis of the relative abundance record of the main coccolithophore species. by Jose Dominick Guballa (19739909)

Analysis of independent prognostic factors. by Yajia Chen (20685780)

High expression of LDHA in LUAD is associated with poor prognosis. by Siyu Yuan (7425719)

Wavelet analysis of the major coccolithophore species in core SO130-289KL. by Jose Dominick Guballa (19739909)

Data_GDP/ Ndvi. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Flow chart of the study. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Example of manual identification. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”

Data_soil. by Qianhong Mao (22305184)

“…Most of the mean value of ESs showed a gradient increasing differences along urban-fringe-rural, while the greatest decrease occurs in fringe expansion and urban expansion areas; and (3) interactions for changes in ES pairs also more closely linked in these two regions, with synergies dominating. …”