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

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.…”

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

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)

(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.…”

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

Subjects:

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)

Salt chemotaxis learning assay. by Masahiro Tomioka (430683)

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

Subjects:

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

Subjects:

The inactivation of the acetyl-CoA acyltransferase 1 enzyme by the novel putative miRNA Oeu124369 leads to a decrease in Acetyl-CoA production and additionally, the deactivation of palmitoyl-protein thioesterase by the same miRNA results in a reduction in palmitic acid biosynthesis in the fatty acid elongation pathway. by Mohammad Hossein Pakdel (19837942)

“…<p>The inactivation of the acetyl-CoA acyltransferase 1 enzyme by the novel putative miRNA Oeu124369 leads to a decrease in Acetyl-CoA production and additionally, the deactivation of palmitoyl-protein thioesterase by the same miRNA results in a reduction in palmitic acid biosynthesis in the fatty acid elongation pathway.…”

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

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

“…<p>(A) Examples of retinal fundus images from different DR grades (top to bottom: mild NPDR, moderate NPDR and severe NPDR). …”

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. …”

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

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

“…We evaluate PLM-derived surprisals, the negative log-probabilities of a word or a sequence of words calculated by a PLM given its preceding context, as a continuous and interpretable measure of treatment-induced language change. …”

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

“…We evaluate PLM-derived surprisals, the negative log-probabilities of a word or a sequence of words calculated by a PLM given its preceding context, as a continuous and interpretable measure of treatment-induced language change. …”

Decreased hypotaurine levels within cells lacking the ADO gene in U251 cells. by Hong Tian (169626)

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

“…<p><b>Objective:</b> To assess the feasibility, accuracy, and reliability of using ChatGPT-4.5 (early-access), a large language model (LLM), for automated scoring of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) protocols. …”