The penetrance tables for the 8 DME models. by Liyan Sun (760586)

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F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. by Liyan Sun (760586)

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The penetrance tables for the 6 DNME3 models. by Liyan Sun (760586)

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Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

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F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 100 dataset. by Liyan Sun (760586)

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Part of epistatic interactions found by Epi-SSA (n = 600 maxG = 800000). by Liyan Sun (760586)

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Tunable parameters in stimuli generation module. ^<i>a</i>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

Local Means Threshold shows higher accuracy than current standard ROI detection methods. by Araven Tiroumalechetty (17827252)

Posterior predicted sensitivity, specificity, PPV, and NPV under Model-3 in subgroup analysis by age (a) and comorbidity (b) groups. by Jia Wei (120974)

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Posterior predicted sensitivity, specificity, PPV, and NPV under Model-3 in sensitivity analyses using different oxygen saturation thresholds. by Jia Wei (120974)

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Posterior predicted sensitivity, specificity, PPV, and NPV under Model-3 in subgroup analysis by year. by Jia Wei (120974)

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Study inclusion and exclusion flowchart. by Jia Wei (120974)

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Posterior predicted sensitivity, specificity, PPV, NPV, covariance, and model comparison among four models with different covariance structures. by Jia Wei (120974)

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The AI Code War Apple ChatGPT and the Hidden Battle for Sovereignty.pdf by Minehli Arakelians Gheshlagh (21983870)

Multiple sequence alignment of the <i>Strumpellin</i> coding sequences performed by Geneious v.3.6.2 program. by Yusr Saadi-Ben Aoun (20469385)

Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

“…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. Improving algorithmic efficiency through hardware-aware implementations enables application to larger systems and more efficient generation of larger training data sets for machine-learning. …”

Different implementations on MNIST object detection accuracy (%) with input image size. by Reyhane Ahmadi (14857363)

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Data and code from: AI-based image profiling and detection for the beetle byte quintet using Vision Transformer (ViT) in advanced stored product infestation monitoring by Alison Gerken (17362585)

“…Successful pest management programs require effective and timely monitoring programs, but traditional methods for detecting pests are time- and labor-intensive and require taxonomic expertise. …”

Code used for data analysis in this study. by Nourin Sultana (22339463)

Enhancing the Robustness of Vehicle Re-Identification in Intelligent Transportation Systems by Mei Qiu (21081170)