Degrees of contradiction correlate with the dominant value. by Muhammad Ahsan (3744803)

degree of faithfulness to the explanation. by Kyuhyung Kim (651731)

Degree of affiliation assigned to the suspects by the specialist using fuzzy logic. by Muhammad Ahsan (3744803)

Degree of belongingness of each option with respect to each attribute value, measured in fuzzy terms. by Muhammad Ahsan (3744803)

Measuring the Degree of Beauty based on Alexander's 15 Properties of Living Structure by Andy Jingqian Xue (18774754)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models by Stephen R. Pfohl (5392586)

“…Singhal, K., Azizi, S., Tu, T. et al. Large language models encode clinical knowledge. …”

Image 1_A clinician-based comparative study of large language models in answering medical questions: the case of asthma.tif by Yong Yin (51909)

Relationship of number of rounds of deliberation and the number of AI Council Members with an incorrect initial answer. by Yahya Shaikh (15275692)

Gen AI and Journalism: towards common principles by Michael Davis (17586303)

“…Some had officially adopted generative AI to assist with research, particularly analysis and summarisation of large amounts of information and there was an optimism about the future possibilities generative AI could offer.  …”

Project Summary: The AI Design Ed project by AnneMarie McKenna (20715786)

“…Design students are familiar with AI tools; however, they are largely discouraged from utilising them creating a punitive approach and lack of transparency. …”

<b>Emergent and Phenomenological Simulation Ethical Identity in an LLM:</b> From the “EuGenio Case” to Series Replicability - Version: 1.0 (Unified) by Ermanno Beccani (21525233)

Generative AI and Journalism: Content, Journalistic Perceptions, and Audience Experiences by T.J. Thomson (9015119)

“…This isn’t necessarily the case, however, as both large and small news outlets are experimenting with AI in sometimes very public and audience-facing ways.…”

Data Sheet 1_The impact of AI on education and careers: What do students think?.docx by Sarah R. Thomson (20197908)

“…Introduction<p>Providing one-on-one support to large cohorts is challenging, yet emerging AI technologies show promise in bridging the gap between the support students want and what educators can provide. …”

Data Sheet 1_Subjective and objective stress during body exposure: a comparison of adolescents with anorexia nervosa versus high body dissatisfaction.pdf by Valeska Stonawski (5448353)

“…Current findings should be validated in larger samples, and the hypothesis of a transdiagnostic BD should be investigated in future research.…”

Domain organization of human αB-crystallin protein. by Aref Baharvand (21713886)

Image 2_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Image 1_Computed tomography and magnetic resonance imaging features of primary liver perivascular epithelioid cell tumor with renal angiomyolipoma: a case report and literature rev... by Ruoling Gao (12201178)

“…The enhancement slightly decreased in the equilibrium phase and the delayed phase. …”

Dataset for 'Sedimentary 17O-nitrate evidence for Phanerozoic aridity and humidity oscillations in South China' in Geophysical Research Letters by weiguo fan (17025582)

“…However, the dry-humid degrees and alternating patterns throughout the Phanerozoic remain largely unconstrained. …”

Geocoding the Past World by Yuqi Chen (19807122)

“…<p dir="ltr"><b>Geocoding the Past World: Unearthing Coordinates of Early China from Texts Using Generative AI</b></p><p dir="ltr">Yuqi Chen, Wenyi Shang, Hongsu Wang, Sophia Zhang, Peter K. …”

Data Sheet 1_Correlation analysis of osteoporosis and vertebral endplate defects using CT and MRI imaging: a retrospective cross-sectional study.pdf by Song Hao (5700608)

“…</p>Methods<p>Computed tomography (CT), magnetic resonance imaging (MRI), bone mineral density (BMD) and other relevant imaging data, as well as age, sex, body mass index (BMI), and degree of low back pain data, were retrospectively analysed. …”