Selection frequencies plotted in decreasing order. by Hannah P. Rowe (7830599)

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

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)

Trend of ANC attendance over the period. by Yaw Nyarko Opoku-Boateng (20477302)

“…</p><p>Conclusion</p><p>The study reveals that Covid-19 led to a decrease in utilization of healthcare which affected pregnant women and newborn care as well. …”

WBC and ANC on day 7 post-chemotherapy. by Lu Yang (30847)

“…The leukocyte and neutrophil counts of the patients in the bone pain group were significantly higher than those of the patients in the no bone pain group, P(WBC) = 0.001, P(ANC) = 0.002.</p><p>Conclusions</p><p>The preventive use of PEG-rhG-CSF decreases the incidence of neutropenia in patients undergoing concurrent chemoradiotherapy for NPC, thereby reducing rates of chemotherapy delays and radiotherapy interruptions, with mild adverse reactions that are tolerable by patients.…”

Dynamics of cortisol levels measured in pregnant women during pregnancy determined at different ANC visits. by Francois Kiemde (5369657)

“…In both group, cortisol concentration increased in a sawtooth pattern during pregnancy with peaks at V2(28^th±1 week) and V4 32^th ±1 week), before decreasing at V5 which is part of post-partum.…”

Trust change by gender. by Alain Abi-Rizk (8549358)

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Trust change by age group. by Alain Abi-Rizk (8549358)

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Trust change by education level. by Alain Abi-Rizk (8549358)

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Trust change by source of science information. by Alain Abi-Rizk (8549358)

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Trust levels before and after the COVID-19 pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

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Distribution of individual change in trust in science before and after the pandemic (n = 10,000). by Alain Abi-Rizk (8549358)

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Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

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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. …”

Results of segmented linear regression model, ANC attendances. by Yaw Nyarko Opoku-Boateng (20477302)

Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

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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. …”

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)