We define the term “inhibitory reduction prowess” (IRP) as the percentage by which the product formation rate is reduced by from the initial point before inhibitor is introduced to... by J. Roadnight Sheehan (20141887)

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Data Sheet 1_Emotional prompting amplifies disinformation generation in AI large language models.docx by Rasita Vinay (21006911)

“…Introduction<p>The emergence of artificial intelligence (AI) large language models (LLMs), which can produce text that closely resembles human-written content, presents both opportunities and risks. …”

The binding energy values of ATP, ALK inhibitors and ABT-199 to ALK were obtained from AlphaFold and modeled protein structures. by Richard Junior Zapata Dongo (17912565)

K-fold cross validation accuracy of different models. by Shayla Naznin (13014015)

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Overview of the WeARTolerance program. by Ana Beato (20489933)

“…This research evaluates the "WeARTolerance’’ arts-based program in reducing mental health stigma among diverse youths. …”

5-fold validation results for model training with sex-specific data. by M. Mendez (6624953)

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Presentation 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

“…We found that surprisal scores decreased following structural priming treatment, especially in participants with more severe sentence production impairments. …”

Data Sheet 1_Tracking priming-induced language recovery in aphasia with pre-trained language models.zip by Yan Cong (1491478)

“…We found that surprisal scores decreased following structural priming treatment, especially in participants with more severe sentence production impairments. …”

Training dynamics of the proposed model for Fold 0. by Celina Rieck (22574722)

PCA-CGAN K-fold experiment table. by Chao Tang (10925)

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

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

“…Experiments demonstrate that PCA-CGAN not only achieves stable convergence on a large-scale heterogeneous dataset comprising 43 patients for the first time but also resolves the “dilution effect” problem in data augmentation, avoiding the asymmetric phenomenon where Precision increases while Recall decreases. After data augmentation, the ResNet model’s average F1 score improved significantly, with particularly outstanding performance on rare categories such as atrial premature beats, far surpassing traditional methods like SigCWGAN and TD-GAN. …”

Decrease in loss during the training process. by Muhammad Idrees (92773)

Feasibility of AI-powered assessment scoring: Can large language models replace human raters? by Michael Jaworski III (22156096)

5-fold cross-validation comparison results. by Chunming Wen (17616274)

HA-MAD1 tumors have increased CIN and decreased p53. by Sarah E. Copeland (13951506)

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Values for the calculation of the time-dependent drug concentrations in the system based on observed data found and derived from a variety of sources. by J. Roadnight Sheehan (20141887)

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MiR-129-5p levels were decreased in mouse depression models. by Qiaozhen Qin (13159201)

Upregulated genes in the thalamus of the mouse exposed sound stress (fold change > 1.5). by Satoka Kasai (3861115)

Truncated and Disubstituted (P4K and L7R) Oncocin Peptides Target the Ribosome with Improved Antibacterial Activity by Teresa Wolak (22336774)

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Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

“…</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”