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. …”

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. …”

Lens profiles as Ez (orange lines) force was increased and Az and Pz (green lines) forces were decreased. by Ronald A. Schachar (16674576)

Brief Report: Increased technology use associated with lower A1C in a large pediatric clinical population by G. Todd Alonso (9568724)

“…</p> <p><strong>Research Design and Methods</strong></p> <p>Of patients <22 years of age with type 1 diabetes duration >3 months at a single center in 2016-2017 (n=2827) and 2020-2021 (n=2731), 1455 had data in both time periods. …”

Impact of age on TCRβ clone sharing. by Sarah A. Johnson (11355817)

Impact of age and CMV status on repertoire clonality and richness. by Sarah A. Johnson (11355817)

Impact of age on sharing of singleton TCRβ clones. by Sarah A. Johnson (11355817)

Impact of age on sharing of top 5000 TCRβ clones. by Sarah A. Johnson (11355817)

Events O, A and B for the three time delay quantities. by Thomas Ward (688068)

Association between age and median TCRβ repertoire generation probability. by Sarah A. Johnson (11355817)

Violin plots of the best fit modelled distributions of times to clinical outcome over the course of the pandemic for category A. by Thomas Ward (688068)

Finite mixture model with a beta-binomial distribution of errors exploring the effect of duration of symptoms, incubation period and whether pathogens induce a local or a systemic... by Gabriele Sorci (288219)

With increasing age, the FBA increased, then the NSA and the aMDFA increased, which finally led to a decreased mMDFA. by Yang Lu (59885)

The effect of aging in primary human dermal fibroblasts by Juliana Carvalhães Lago (317685)

“…A large number of biological mechanisms, such as decreasing of protein synthesis of extracellular matrix or increasing of degradation, are known to be altered through skin aging. …”

Population entropy in APP/PS1 mice is decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

Pairwise correlations in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

HbA1c by age in new and previous diabetes diagnoses. by Sharon E. Cox (7243847)

Pairwise correlations of excitatory neurons in APP/PS1 mice are decreased in dCA1, but increased in vCA1. by Udaysankar Chockanathan (18510288)

Aging increases senescence markers in ASM. by Sarah A. Wicher (11204226)

“…<p>Immunofluorescence staining for p21 a marker of cell cycle arrest (A) showed increased levels in elderly ASM. γH2AX, a marker for DNA damage, increased in elderly ASM (B). …”

Chance of relapse was increased with increasing Gleason Score, PSA level and age. by Stephanie E. A. Burnell (7164608)

“…<p>(A) Gleason, (B) PSA level and (C) Age were plotted against the death and relapse of the patient. …”