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

Youthful systemic milieu in young recipients decreased apoptosis and oxidative stress damage in allografts, and promoted proliferation. by Chengjun Yu (12136227)

The refracted opposition-based learning mechanism. by Yang Guo (399435)

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The motor torque curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. by Taochang Li (20642935)

“…<p>The motor torque curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m.…”

The motor speed curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m. by Taochang Li (20642935)

“…<p>The motor speed curves of load increase/decrease (A) the load of 10 N • m (B) the load of 20 N • m.…”

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

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Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)

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Cross-lagged panel model based on physical activity, aggressive behavior and Chinese language learning. by Zixia Bu (21475019)

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(A) The expression of DCXR and HRSP12 was higher in the DN model; (B) The expression of DCXR and HRSP12 was decreased compared with the normal control after knockout; (C) CCK8 experiment. by Hongmin Luo (2142307)

“…<p>(A) The expression of DCXR and HRSP12 was higher in the DN model; (B) The expression of DCXR and HRSP12 was decreased compared with the normal control after knockout; (C) CCK8 experiment.…”

Cross-lagged panel model consistency test based on physical activity, aggressive behavior and Chinese language learning. by Zixia Bu (21475019)

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Plots showing Mean Decrease in Accuracy of the three landslide susceptibility models developed using the RF algorithm for the (a) post-Ketsana, (b) post-Podul, and (c) post-Molave periods. by Raja Das (1841107)

Organic solvent exposure causes defects in salt chemotaxis learning. by Masahiro Tomioka (430683)

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Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate decreases, the range of residual variations also becomes smaller. by Hua Huo (1818133)

“…<p>Based on our time series data(first from the left), the visualizations of linear residual predictions under different decimation rates (next three) show that as the decimation rate decreases, the range of residual variations also becomes smaller.…”

Inherently interpretable deep learning framework highlights clinically relevant image regions. by Kerol Djoumessi (21349992)

“…(D) Suspicious regions from (C) enlarged and sorted with decreasing evidence scores. Depending on the image grade, the suspicious regions contain various DR-related lesions such as microaneurysms, hemorrhages, or drusen.…”

Time-based splitting strategy and forecast horizons. by Thierry Jean (20691795)

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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. …”

Accuracy of multiple classifiers with a deep-learning-based feature set by Afira Aslam (21433666)

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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. …”