Spato-temporal changes in land use types. 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. …”

Table of dataset division. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data Sheet 2_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.pdf by Mattia Dalle Nogare (22696022)

“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.…”

Data Sheet 1_The association between lipid accumulation product and osteoporosis in American adults: analysis from NHANES dataset.docx by Huawen Pan (20899496)

“…</p>Results<p>LAP and osteoporosis were shown to be significantly inversely correlated in the study. In the unadjusted model, the prevalence of osteoporosis and Log LAP showed a significant negative connection (OR = 0.62, 95% CI = 0.52–0.74). …”

Table 2_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx by Mattia Dalle Nogare (22696022)

“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.…”

Pattern indices of landscape levels. 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. …”

Striking image. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Table 1_Xianyu capsule ameliorates neuroinflammatory and glycerophospholipid metabolism in lithium-pilocarpine-induced acute epilepsy.docx by Dongsheng Yu (521989)

“…Objective<p>Xianyu capsule (XYC) is a commonly used traditional Chinese medicine in the clinical treatment of epilepsy, with significant curative effect and good safety. However, its mechanism of action remains poorly understood. …”

Table 1_Association between composite dietary antioxidant index and increased urinary albumin excretion: a population-based study.docx by Shaopeng Li (820947)

“…The prevalence of increased ACR decreased across the CDAI quartiles from 13.89% in Q1 to 10.11% in Q4. …”

Image 2_Hippocampus-sparing volume-modulated arc therapy in patients with World Health Organization grade II glioma: a feasibility study.jpeg by Renxian Xie (17044863)

“…</p>Methods<p>HS VMAT plans and non-hippocampus-sparing volumetric-modulated arc therapy (NHS VMAT) plans were generated using a computed tomography (CT) dataset of 10 patients who underwent postoperative radiotherapy. …”

Table 1_PitNET tissue deconvolution: tracing normal tissue residues and immune dynamics.xlsx by Mattia Dalle Nogare (22696022)

“…However, its limited ability to resolve cellular heterogeneity – particularly in samples containing residual non-tumor pituitary cells – remains a significant challenge.…”

Precision, recall, F1-Score curve. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Table 4_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Model comparison experimental results. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Data Sheet 1_Citywide community-based colorectal cancer screening in urban Shanghai: age and sex variations in risk mitigation from 1973 to 2020.docx by Mengyin Wu (8778272)

“…However, elderly mortality decreased significantly (APC: 1.47% to −3.03%, P < 0.001).…”

Table 1_Circulating growth differentiation factor-15 concentration and hypertension risk: a dose-response meta-analysis.docx by Zhengqing Yu (12641890)

“…Significant heterogeneity was detected in the pooled analysis and meta-regression analysis suggested that participants’ age and the prevalence of diabetes significantly accounted for the heterogeneity.…”

Slicing aided hyper inference algorithm. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Image 1_Biometric parameters and choroidal microstructure in Chinese children with unilateral anisometropia.pdf by Jing Wen (25059)

“…The LA/SA ratio and CVI were significantly lower in myopic eyes (p = 0.002, p <0.001) and non-significantly greater in hyperopic eyes than in normal eyes (p = 0.072, p = 0.050). …”

Improved YOLOv10 network structure. by Chunhua Yang (346871)

“…The experimental results demonstrate that when compared to YOLOv10, S-YOLOv10-ASI shows significant improvements across various metrics. Specifically, Bounding Box Regression Loss decreases by over 30% in the training set, while Classification Loss and Bounding Box Regression Loss drop by more than 60% in the validation set. …”

Supplementary Material for: The Association Between Tumor Necrosis Factor-Alpha Inhibitor Use and Dementia Risk in Patients with Rheumatoid Arthritis: A Systematic Review and Meta-... by figshare admin karger (2628495)

“…The pooled meta-analysis comparing the risk of dementia (hazard ratio [HR] = 0.77, 95% CI 0.64–0.93) and Alzheimer's disease (AD) (odds ratio = 0.31, 95% CI 0.23–0.43) between TNFi users and non-users showed a significant association. However, the pooled HR for AD risk was inconsistent. …”