MIT-BIH expanded dataset proportion chart. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

AUROC Graphs of RF Model and ResNet. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

PCA-CGAN Model Workflow Diagram. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

Structural Diagrams of RF Model and ResNet Model. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

PCA-CGAN model convergence curve. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

PCA-CGAN Structure Diagram. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

Comparison of Model Five-classification Results. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

PCAECG-GAN K-fold experiment table. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

PCA-CGAN Pseudocode Table. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

PCA-CGAN Ablation Experiment Results. by Chao Tang (10925)

“…This research addresses core challenges in ECG signal classification—extremely imbalanced data, significant individual physiological differences, and difficulties in long sequence fitting—by proposing a Principal Component Analysis-based Conditional Generative Adversarial Network (PCA-CGAN). …”

Current vaccine delivery model. by Pamela Bakkabulindi (12914980)

“…<div><p>Developing countries face challenges in ensuring equitable, timely, and efficient vaccine availability at health facilities. …”

Vaccine stock status, Gomba district, Uganda. by Pamela Bakkabulindi (12914980)

“…<div><p>Developing countries face challenges in ensuring equitable, timely, and efficient vaccine availability at health facilities. …”

Informed push model. by Pamela Bakkabulindi (12914980)

“…<div><p>Developing countries face challenges in ensuring equitable, timely, and efficient vaccine availability at health facilities. …”

Source of funds for vaccine pick-up at baseline. by Pamela Bakkabulindi (12914980)

“…<div><p>Developing countries face challenges in ensuring equitable, timely, and efficient vaccine availability at health facilities. …”

S1 Dataset - by Pamela Bakkabulindi (12914980)

“…<div><p>Developing countries face challenges in ensuring equitable, timely, and efficient vaccine availability at health facilities. …”

Image 1_Modulating effects of Phellinus linteus polysaccharides on antioxidant capacity, immune function, intestinal function and microbiota in lipopolysaccharide-challenged broile... by Yang Li (7082)

“…The results demonstrated that LPS significantly decreased average daily gain (ADG), average daily feed intake (ADFI), and total antioxidant capacity (T-AOC) activity in serum and duodenum. …”

Table 1_Effects of dietary amylose/amylopectin ratio on antioxidant ability and amino metabolism in the liver of weaned piglets undergoing feed transition and challenged with lipop... by Can Yang (337581)

“…After LPS stress, colonic skatole concentration increased in DAR 0.40, 0.80 but decreased in other groups (p < 0.05). In conclusion, adverse effects of the LPS challenge could be reversed by feeding weaned piglets with low or high DAR diet through regulating amino metabolism and antioxidant function.…”

Supplementary Material for: Primary Vitreoretinal Lymphomas: A Diagnostic Challenge. Report of two recent cases with retinal biopsies and molecular investigations in Halifax, Nova... by figshare admin karger (2628495)

“…The clinical diagnosis can be a challenge since the disease mimics uveoretinitis in its presentation and initial treatment response to steroids. …”

<b>Metabolic Perturbations and Ectopic Fat Deposition in Low Birthweight Subjects</b><b>– Effects of a 4 Week Carbohydrate Overfeeding Challenge</b> by Charlotte Brøns (261017)

This is the data correction file. by Pitchaporn Sonuch (11785736)

“…</p><p>Conclusions</p><p>The combined intervention significantly decreased systolic blood pressure and showed a trend towards reduced urine sodium excretion in hypertensive patients. …”