Means of sampling data in the Zunhua study area. by Yu Zhang (12946)

Connectivity maps and color maps of within-group analysis of the tDCS intervention. by Rael Lopes Alves (7877942)

“…<p>The colored edge represents connections with significant differences. Data represent the delta-value of the mean oscillation of the frequency band from pre- to post-treatment in each brain region. …”

Modeling method used. by Claire Teillet (18986264)

“…Urban vegetation significantly influences larval presence, although higher vegetation index values correlate with a decreased probability of larval occurrence. …”

Flowchart of the study population. by Gábor Szaló (22615130)

“…</p><p>Results</p><p>The mean age of study participants was 57 years and women reported significantly higher stress levels on PSS-10 than men [Women: 13.6 ± 5.6; Men: 12.4 ± 5.3; p < 0.01]. …”

Characteristics of study population. by Gábor Szaló (22615130)

“…</p><p>Results</p><p>The mean age of study participants was 57 years and women reported significantly higher stress levels on PSS-10 than men [Women: 13.6 ± 5.6; Men: 12.4 ± 5.3; p < 0.01]. …”

Long-term divergence of nitrogen and phosphorus dynamics in small lakes across China by Shaojuan Du (22465949)

“…Eastern Plains lakes had the highest mean TN/TP ratios (48.2 ± 13.7) and the fastest decrease (-1.565/decade). …”

Microplastics Influence Dissolved Organic Matter Transformation Mediated by Microbiomes in Soil Aggregates by Xinran Qiu (9182255)

“…MPs were found to increase DOM transformation in soil aggregates, leading to changes in soil aggregate stability, including a reduction in geometric mean diameter and mass-weighted diameter. The addition of MPs resulted in a decrease in the stability of DOM in large-sized aggregates but an increase in the aromaticity and unsaturation of DOM in small-sized aggregates, which were more pronounced in the PLAMPs-treated group. …”

Algorithm training accuracy experiments. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

Repeat the detection experiment. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

Detection network structure with IRAU [34]. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

Ablation experiments of various block. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

Kappa coefficients for different algorithms. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

The structure of ASPP+ block. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

The structure of attention gate block [31]. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

DSC block and its application network structure. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

The structure of multi-scale residual block [30]. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

The structure of IRAU and Res2Net+ block [22]. by Yingying Liu (360782)

“…In addition, the detection efficiency of the model for different elements ranged from 0.91 to 0.94, with high accuracy in detecting changes in spatial and temporal scales and small offsets. The actual accuracy and mean latency time of the model were 92.43% and 260ms, respectively. …”

Figure 4 from Impact of Glucocorticoids on Immune Checkpoint Inhibitor Efficacy and Circulating Biomarkers in Non–Small Cell Lung Cancer Patients by Lauren Polyakov (21672045)

Table 1_Retinal assessment in 143 patients with white matter lesions: the potential of OCTA as an evaluation tool.docx by Dong Zhang (73558)

Data Sheet 1_Hemodynamic changes and their relationship with white matter hyperintensities in CSVD patients with cognitive impairment: a 4D flow study.pdf by Jiajun Cao (11560062)

“…</p>Results<p>The CSVD with CI population reported a statistically significant decrease in flow rate, blood flow velocity, and WSS, as well as an increase in PI, RI, CSF flow quantity, and velocity compared to age-matched cognitively healthy control participants. …”