Location map of the study area. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Data source. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Research Technology Flow Chart. by Chao Ma (207385)

“…The habitat quality shows a spatial distribution pattern of “high in the surrounding areas and low in the central areas”, and autocorrelation analysis shows that county-level units have significant spatial agglomeration effects. (iii) The overall type shows an enhancement of dual factor or non-linear, in which land use intensity and population density are the main driving factors for the spatio-temporal evolution of habitat quality. …”

Hybrid Molecules of Benzothiazole and Hydroxamic Acid as Dual-Acting Biofilm Inhibitors with Antibacterial Synergistic Effect against Pseudomonas aeruginosa Infections by Zhen-Meng Zhang (20874497)

“…Further mechanistic studies demonstrated not only that the production of virulence was decreased through mainly inhibiting QS system but also that <b>JH21</b> competed for iron with the high-affinity siderophore pyoverdine, inducing iron deficiency and inhibiting biofilm. …”

Baseline measures of participants. by Philippa Charlotte Rose Wheble (21578605)

“…No Group x Time interaction was found for any of the physiological or psychological measures. However, a significant Time main effect was found for K-MPAI (X2(5)=20.157, p = .001) and GAD-7 (X2(5)=12.79, p = .025) within the TBr group. …”

Demographic characteristics of participants. by Philippa Charlotte Rose Wheble (21578605)

“…No Group x Time interaction was found for any of the physiological or psychological measures. However, a significant Time main effect was found for K-MPAI (X2(5)=20.157, p = .001) and GAD-7 (X2(5)=12.79, p = .025) within the TBr group. …”

Data sources and descriptions. by Zeduo Zou (21672789)

“…As the results show, during the study period: (1) Temporal Trends: annual PM2.5 concentrations exhibited significant declines, with BTH decreasing from 1004.71 μg/m³ (2006) to 528 μg/m³ (2020), YRD from 1434.81 μg/m³ (2008) to 621 μg/m³, and PRD from 405.02 μg/m³ (2007) to 292 μg/m³. …”

Heatmap analysis for technical reproducibility of Cohort #1 CP dataset (28wk-old WT and R14^Δ/+). by Brian Foo (19273132)

Occurrence of subcortical immature neurons (scINs) in the amygdala of mouse and primates: relationship with evolution of subnuclei scaling and cortical connectomics. by Marco Ghibaudi (16701750)

Raw images. by Dahae Lee (3125157)

“…PPD, Rg1, Rb2, and Rg3 inhibited lipid accumulation in PA-treated HepG2 cells. PA significantly decreased lipid levels in HepG2 cells, which was prevented by PPD, Rg1, Rb2, and Rg3. …”

ZNF503-AS2 had predictive value for chemotherapy and immunotherapy in glioma. by Yibo Wu (788885)

Stata file for the experimental hut data. by Jackline L. Martin (12265386)

“…There was no evidence of a difference in the main outcomes for any of the new classes of LLINs at 24 and 36 months compared to standard LLINs. …”

EHT treatments evaluated. by Jackline L. Martin (12265386)

“…There was no evidence of a difference in the main outcomes for any of the new classes of LLINs at 24 and 36 months compared to standard LLINs. …”

Land Use Change Transfer Diagram. by Wanzhuang Huang (17357306)

“…The results indicated that from 1990 to 2020, the area of unused land in the Shiyang River Basin decreased the most, mainly converted into farmland, construction land, and water areas. …”

Research framework. by Wanzhuang Huang (17357306)

“…The results indicated that from 1990 to 2020, the area of unused land in the Shiyang River Basin decreased the most, mainly converted into farmland, construction land, and water areas. …”

Heart looping variations in <i>Notch3</i> and <i>Nodal</i> compound mutants. by Tobias Holm Bønnelykke (20968460)

Inclusion and exclusion table. by Tong-jie Yang (20939652)

“…The sample sizes ranged from 50 to 685, with the CT slice thickness varying from 0.5 mm to 10 mm. The results mainly focused on three areas: (1) the relationship between HU and the density of proximal femoral tissues (n = 33); (2) the assessment of HU in predicting the risk of femoral head collapse (n = 10); (3) the application of HU during the perioperative period of THA (n = 15).…”

Included studies. by Tong-jie Yang (20939652)

“…The sample sizes ranged from 50 to 685, with the CT slice thickness varying from 0.5 mm to 10 mm. The results mainly focused on three areas: (1) the relationship between HU and the density of proximal femoral tissues (n = 33); (2) the assessment of HU in predicting the risk of femoral head collapse (n = 10); (3) the application of HU during the perioperative period of THA (n = 15).…”

Inclusion and exclusion criteria. by Tong-jie Yang (20939652)

“…The sample sizes ranged from 50 to 685, with the CT slice thickness varying from 0.5 mm to 10 mm. The results mainly focused on three areas: (1) the relationship between HU and the density of proximal femoral tissues (n = 33); (2) the assessment of HU in predicting the risk of femoral head collapse (n = 10); (3) the application of HU during the perioperative period of THA (n = 15).…”

PRISMA flow chart of study selection. by Tong-jie Yang (20939652)

“…The sample sizes ranged from 50 to 685, with the CT slice thickness varying from 0.5 mm to 10 mm. The results mainly focused on three areas: (1) the relationship between HU and the density of proximal femoral tissues (n = 33); (2) the assessment of HU in predicting the risk of femoral head collapse (n = 10); (3) the application of HU during the perioperative period of THA (n = 15).…”