Graphical presentation of % decrease for insulin from baseline at different conditions. by Nathan Mubiru (21627195)

Graphical presentation of % decrease for C-peptide from baseline at different conditions. by Nathan Mubiru (21627195)

Parameter sets generated through Latin hypercube sampling. by Alexandra M. Campbell (3284094)

Flow chart describing samples. by Rabi Joël Gansaonré (20416803)

Summary of sample descriptive statistics. by K. Kanoho Hosoda (19929050)

Expression profile heatmaps of key genes in gene sets. by Jiyong Zhang (2498740)

Minimal data set. by Salomé Mascarell (20234689)

Characteristics of the sample. by Ana Beato (20489933)

Minimal data set. by Hong Du (117108)

Characteristics of the study sample. Proportions weighted by sampling method. by Jesús Martín-Fernández (406234)

Data set. by Aurélia Lépine (637511)

“…Between June and August 2021, we recruited 1,508 adolescent girls and women over age 15 years who were involved in transactional sex (<i>n</i> = 753) or commercial sex (<i>n</i> = 755), using snowball sampling. …”

Experimental set up with the participant seated on the isokinetic dynamometer. by Philipp Bauer (21601393)

Differential gene sets associated with the transcriptional host response to SARS-CoV-2 infection across serially collected samples. by Vasanthi Avadhanula (259546)

Summary statistics of the sample. by Yulian Ding (5984591)

“…This study employed a choice experiment to simulate the market scenario in which a text warning label was presented on SSBs. We draw a sample of 1200 participants from five major cities across China to analyze the warning label’s effectiveness in reducing urban consumers’ purchases of SSBs, with a particular emphasis on how an individual’s habit strength affects their reaction to the warning label. …”

The parameters set in the experiment under two models. by Xiying Wang (4859998)

Data set. by Ana Belén López Pérez (22693281)

“…Behavioral data were collected using all-occurrence and focal-animal sampling, while fecal samples were analyzed for glucocorticoid (fGCM) and androgen (fAM) metabolite concentrations to assess physiological responses. …”

Simulation Parameter Settings. by Jinrong Liang (3918740)

“…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. Notably, following fine-tuning, the model still achieved 100% MF recognition accuracy and an average absolute error of 0.34 dB for OSNR estimation under a sample length of 16,000 and fiber length of 160 km. …”

Sample preparation and testing flow chart. by Junxia Zhou (14381598)

Map of sampled sites created using ArcGIS software. by Joseph Kagabo (20405114)

Subjects:

Data set. by Belachew Tekleyohannes Wogayehu (19470257)