A 1:2000 scale map of the 2.12 km² study area: The UC Santa Cruz campus. by Ishana Shukla (20189612)

Contains R code utilized in the analyses. by Arttu Autio-Kimura (20454681)

“…The relative abundance of excitatory and inhibitory neurons, astrocytes, oligodendrocytes, microglia, and endothelial cells was estimated from the RNA sequencing data using a deconvolution-based analysis. Spearman correlation analysis between the individuals’ calendar ages and cell type proportions revealed a statistically significant decrease in the proportion of neurons with increasing age. …”

GS-1: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. Discrepancies occur in areas the Czech Republic and SE Germany. by Isabell Schmidt (6331013)

Box plot displaying the distributions of the deconvolution derived proportions of cell types. by Arttu Autio-Kimura (20454681)

Data Sheet 1_Changes in pancreatic levodopa uptake in patients with obesity and new-onset type 2 diabetes: an 18F-FDOPA PET-CT study.docx by Yeongkeun Kwon (3611216)

“…</p>Results<p>Pancreatic levodopa uptake increased in obese patients with insulin resistance, whereas it decreased in obese patients with new-onset type 2 diabetes [standardized uptake value (SUV) mean in participants with normal weight, 2.6 ± 0.7; SUV_mean in patients with obesity, 3.6 ± 0.1; SUV_mean in patients with obesity and new-onset type 2 diabetes, 2.6 ± 0.1, P = 0.02].…”

Results of SD-TOPSIS application ‐ combination A. by Roman Vavrek (13200141)

“…The presented research works with five criteria, identified by the Institute for Economic and Social Reforms, and aims to quantify the agreement of the results of the assessment of the financial health of territorial self-government entities in 2020 using the TOPSIS technique with a gradually decreasing number of criteria. For this purpose, a total of 26 combinations of criteria are created, with the number of 5, 4, 3 and 2 used criteria, the importance of which is determined based on their absolute variability using the standard deviation method. …”

Dox-inducible expression of HA-MAD1 in colon is sufficient to decrease p53 expression and cause chromosome missegregation. by Sarah E. Copeland (13951506)

“…Colors indicate samples from different animals. Large circles show mean of cells from 5 fields of view from a single animal. …”

Comparison of the studied complete blood count parameters between <i>Anaplasma</i> spp. and <i>A. ovis</i> positive and negative goats enrolled from Dera Ghazi Khan district in Pun... by Sumaira Sumaira (21453523)

Data of the article "The physiological cost of being hot: High thermal stress and disturbance decrease energy reserves in dragonflies in the wild" by Eduardo Ulises Castillo-Pérez (20869904)

“…We evaluated thermal stress in 16 insect dragonfly species during two sampling periods (2019 and 2022) in preserved and disturbed sites within a tropical dry forest in western Mexico. Also, we compared energetic condition (lipid and protein content) and thoracic mass for the seven most abundant species between both habitat types. …”

Table 1_Short-term caloric restriction or resveratrol supplementation alters large-scale brain network connectivity in male and female rats.docx by Judith R. A. van Rooij (20655404)

Maps (left) and diagrams (right) from the definition of the Core Areas based on the sites dated to Greenland Interstadial (GI) 1d-a. The maps of dataset A (upper, sites n = 1356) a... by Isabell Schmidt (6331013)

Prediction (a-d) and infusion deviation (e-f) results under different training sets and test sets. by Leijie Wang (21485157)

Table 3_Comparative performance evaluation of large language models in answering esophageal cancer-related questions: a multi-model assessment study.xlsx by Zijie He (8194938)

“…Retesting showed improvements in overall quality, yet some responses showed decreased completeness and relevance.</p>Conclusion<p>Large language models have considerable potential in answering questions about esophageal cancer, with significant differences in completeness. …”

Table 2_Comparative performance evaluation of large language models in answering esophageal cancer-related questions: a multi-model assessment study.xlsx by Zijie He (8194938)

“…Retesting showed improvements in overall quality, yet some responses showed decreased completeness and relevance.</p>Conclusion<p>Large language models have considerable potential in answering questions about esophageal cancer, with significant differences in completeness. …”

Table 1_Comparative performance evaluation of large language models in answering esophageal cancer-related questions: a multi-model assessment study.xlsx by Zijie He (8194938)

“…Retesting showed improvements in overall quality, yet some responses showed decreased completeness and relevance.</p>Conclusion<p>Large language models have considerable potential in answering questions about esophageal cancer, with significant differences in completeness. …”

Data Sheet 1_Associations of NETs with inflammatory risk and clinical predictive value in large artery atherosclerosis stroke: a prospective cohort study.docx by Jiang Li (272926)

“…</p>Results<p>The serum MPO-DNA, PAD4, C1q, IL-1β, IL-6 and IL-8 reach their peak at 24 hours after stroke onset and show a decreasing trend during acute phase. MPO-DNA, AIM2 and IL-1β at baseline were associated with poor outcome at 3 months, further GMDR analysis revealed that the combination of MPO-DNA, AIM2 and IL-1β exert a synergistic effect on the prognosis of LAA stroke (OR: 8.75 95%CI (2.10-32.42)). …”

Table 1_Associations of specific food sources of dietary fat with prostate cancer incidence and mortality: results from a large prospective cohort.docx by Yong-xin Fu (22644743)

Mann Whitney U test applied to differences in rates of decision switching (instances of yes, no and reconsider expressed as a proportion of the total reponses) of students and radi... by Clare Rainey (11677747)

Table 1_Development of a clinical prediction model for poor treatment outcomes in the intensive phase in patients with initial treatment of pulmonary tuberculosis.docx by Bin Lu (65603)

“…Logistic regression analysis identified several independent risk factors for poor treatment outcomes, including diabetes, cavities in the lungs, tracheobronchial TB, increased C-reactive protein, and decreased hemoglobin. The AUC values were 0.815 for the modeling group and 0.851 for the validation group. …”

Diachronic tendencies in the frequency of regionally differentiated radiocarbon dates per region. The percentage of dates for GI-1d-a (green dot, left side of the arrow) and GS-1 (... by Isabell Schmidt (6331013)