Percent Decrease in FGM between Oldest (45-49 years) and Youngest (15-19 years) Cohorts of Women over the years in Egypt. by Shatha Elnakib (8901764)

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

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

“…<p>This study explores the use of pre-trained language models (PLMs) in tracking priming treatment induced language recovery in aphasia. …”

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

“…<p>This study explores the use of pre-trained language models (PLMs) in tracking priming treatment induced language recovery in aphasia. …”

App user base growth trends. by Henri Claude Moungui (22227043)

“…Interrupted time series analyses found gradual adoption and sustained retention following intervention start, but significant decrease at campaign end.</p><p>Conclusion</p><p>A context‑adapted, multi‑channel marketing strategy markedly improved adoption and retention of the WHO SkinNTDs app among Cameroonian FHWs. …”

Training process flowchart of ANN-based MPPT controller. by Abdelfattah Dani (22226715)

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. …”

CS rates increased with protraction and decreased with retraction. by Paul Hage (21071783)

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

Group-based descriptive statistics and effect sizes. by Murat Tutar (22250461)

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Schematic representation of the study protocol. by Neng Pan (5262032)

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Baseline characteristics. by Neng Pan (5262032)

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Comparison within groups. by Neng Pan (5262032)

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Comparison before and after the experiment in each group. by Neng Pan (5262032)

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Data ste. by Neng Pan (5262032)

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Comparison of data after the experiment. by Neng Pan (5262032)

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Correlation diagram of each parameter in each group. by Neng Pan (5262032)

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Recruitment process. by Neng Pan (5262032)

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Comparison of post-experimental outcome measures. by Neng Pan (5262032)

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AdaBoost training flowchart. by Yang Guo (399435)

“…HINGO enhances the uniformity of the initial population distribution by means of refraction opposition-based learning strategy in initialization, and improves the local and global search ability of the algorithm by means of sine and cosine strategy, Lévy flight and nonlinear decreasing factor in the search stage. …”