Identifying Missing Sources and Reducing NO_x Emissions Uncertainty over China using Daily Satellite Data and a Mass-Conserving Method by Lingxiao Lu (14407038)

Flowchart diagram of the processing method. by Aline Taoum (20495931)

Performance of different feature selection methods over the cross-validation and independent tests. by Saeed Ahmed (417198)

Compartmental diagram of the selection process over multiple gonotrophic cycles for IRM strategies. by Neil Philip Hobbs (20748043)

Training and validation metrics over Epochs during Knowledge distillation process. by Ahmed Akib Jawad Karim (20427740)

The process of creep experiment. by Yufan Feng (12106787)

Subjects:

Implementation process chart of proposed method. by Yisong Xiao (1845745)

Our methods of thinking process diagram. by Jiaxuan Li (8894255)

Comparative analysis of the proposed method vs. baselines (averaged over 10 runs). by Gong Chu (22582446)

Creep failure process of CTB. by Yufan Feng (12106787)

Subjects:

Proteins classification according to their biological processes (over 1,368 identified proteins; S1 Table). by Alessio Di Luca (3181494)

Comparison of the prediction results of BLSAM-TIP and conventional ML methods over the cross-validation and independent tests. by Saeed Ahmed (417198)

Comparison of the prediction results of BLSAM-TIP and conventional DL methods over the cross-validation and independent tests. by Saeed Ahmed (417198)

Performance comparison of different feature representations over the training dataset. by Saeed Ahmed (417198)

Biomarker profiles over the course of the liver event: by Antonio Marín-Romero (21453085)

TPR and condition number over different choices of library parameters for case 2. by Rainey Lyons (22806496)

TPR and condition number over different choices of library parameters for case 1. by Rainey Lyons (22806496)

Heat-map of the prediction performance of our proposed BLSAM-TIP model and the existing methods over the independent test. by Saeed Ahmed (417198)

Performance of different feature representations over the cross-validation and independent tests. by Saeed Ahmed (417198)

Semantic and phonological aphasia treatment (Schwen Blackett et al., 2025) by Deena Schwen Blackett (20148991)

“…<p dir="ltr"><b>Purpose: </b>The purpose of this work is to examine whether therapy-related improvements in trained versus untrained items (acquisition and response generalization, respectively) are differentially affected by phonological versus semantic language treatments and to investigate individual variables associated with treatment response.</p><p dir="ltr"><b>Method:</b> Sixty-three participants with chronic poststroke aphasia were included in this retrospective analysis of data from a large, multisite clinical trial with an unblinded cross-over design in which all participants underwent 3 weeks of semantic treatment and 3 weeks of phonological treatment. …”