outcome of HPDL-MIAIHD technique with recent methods. by Naif Almakayeel (16846021)

Subjects:

Average of HPDL-MIAIHD technique on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

Subjects:

PR curve of HPDL-MIAIHD method on 60:40 of TRAP/TESP. by Naif Almakayeel (16846021)

Subjects:

Evaluation of the effectiveness of double task. by Fan Yang (1413)

“…The Spatial Attention Based Dual-Branch Information Fusion Block links these branches, enabling mutual benefit. Furthermore, we present a structured pruning method grounded in channel attention to decrease parameter count, mitigate overfitting, and uphold segmentation accuracy. …”

Evaluation of the effectiveness of pruning. by Fan Yang (1413)

“…The Spatial Attention Based Dual-Branch Information Fusion Block links these branches, enabling mutual benefit. Furthermore, we present a structured pruning method grounded in channel attention to decrease parameter count, mitigate overfitting, and uphold segmentation accuracy. …”

The summary of ablation experiment. by Fan Yang (1413)

“…The Spatial Attention Based Dual-Branch Information Fusion Block links these branches, enabling mutual benefit. Furthermore, we present a structured pruning method grounded in channel attention to decrease parameter count, mitigate overfitting, and uphold segmentation accuracy. …”

Schematic of SADBIFB. by Fan Yang (1413)

“…The Spatial Attention Based Dual-Branch Information Fusion Block links these branches, enabling mutual benefit. Furthermore, we present a structured pruning method grounded in channel attention to decrease parameter count, mitigate overfitting, and uphold segmentation accuracy. …”

Schematic of the residual attention block. by Fan Yang (1413)

“…The Spatial Attention Based Dual-Branch Information Fusion Block links these branches, enabling mutual benefit. Furthermore, we present a structured pruning method grounded in channel attention to decrease parameter count, mitigate overfitting, and uphold segmentation accuracy. …”

Data Sheet 1_Changes in pancreatic levodopa uptake in patients with obesity and new-onset type 2 diabetes: an 18F-FDOPA PET-CT study.docx by Yeongkeun Kwon (3611216)

“…</p>Results<p>Pancreatic levodopa uptake increased in obese patients with insulin resistance, whereas it decreased in obese patients with new-onset type 2 diabetes [standardized uptake value (SUV) mean in participants with normal weight, 2.6 ± 0.7; SUV_mean in patients with obesity, 3.6 ± 0.1; SUV_mean in patients with obesity and new-onset type 2 diabetes, 2.6 ± 0.1, P = 0.02].…”

Using Environmental Mixture Exposure-Triggered Biological Knowledge-Driven Machine Learning to Predict Early Pregnancy Loss by Mengyuan Ren (14724676)

“…Clinical records, and paired hair, serum, and follicular samples were collected, with 16 per- and polyfluoroalkyl substances (PFAS) and 41 metal(loid)s measured. We developed a framework coupled with biological knowledge graph-based networks (BKGNs) and machine learning (ML) to predict EPL. …”

Characteristics of the studies. by Mairena Sánchez-López (684092)

“…<div><p>Prolonged sitting in school harms children’s physical and mental health and reduces the ability to focus on classroom tasks. ’Active Learning Classrooms’ (ALCs) aim to decrease sitting time, following current pedagogical trends, though research on the effects of ALCs on these aspects is still an emerging field. …”

PRISMA flow chart of the study selection process. by Mairena Sánchez-López (684092)

“…<div><p>Prolonged sitting in school harms children’s physical and mental health and reduces the ability to focus on classroom tasks. ’Active Learning Classrooms’ (ALCs) aim to decrease sitting time, following current pedagogical trends, though research on the effects of ALCs on these aspects is still an emerging field. …”

Table 1_Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.docx by Bin Lu (65603)

“…Logistic regression analysis identified several independent risk factors for poor treatment outcomes, including diabetes, cavities in the lungs, tracheobronchial TB, increased C-reactive protein, and decreased hemoglobin. The AUC values were 0.815 for the modeling group and 0.851 for the validation group. …”

DDX5 and DDX17 decrease viral gene expression during KSHV lytic reactivation in iSLK.219 cells. by Praneet Kaur Sandhu (21156149)

Image 1_Iodine-131 induces ferroptosis and synergizes with sulfasalazine in differentiated thyroid cancer cells via suppressing SLC7A11.tif by Li Ling (424480)

Figure 6 from TGFβ Inhibition during Radiotherapy Enhances Immune Cell Infiltration and Decreases Metastases in Ewing Sarcoma by Jessica D. Daley (22128489)

Forest Plots, SROC Curve, and Diagnostic Performance Analyses of ctDNA Biomarkers for Early Pancreatic Cancer Detection. by Zeyi Zheng (16879938)

Data collection timepoints. by Hugo Hille (11294179)

“…The primary outcome is the lowest SpO₂ value from laryngoscopy to 2 minutes after successful ETI. …”

Details of the intervention. by Hugo Hille (11294179)

“…The primary outcome is the lowest SpO₂ value from laryngoscopy to 2 minutes after successful ETI. …”

Patient flowchart. by Hugo Hille (11294179)

“…The primary outcome is the lowest SpO₂ value from laryngoscopy to 2 minutes after successful ETI. …”