The normal force between two particles with De = 6.30 mm for different aspect ratios and sphericities: (a) hertz normal contact force; (b) normal viscous contact force. by Yongfeng Zhu (7361045)

The tangential force between two particles with different aspect ratios and sphericities for De = 6.30 mm: (a) elastic tangential contact force; (b) viscous tangential contact forc... by Yongfeng Zhu (7361045)

Covid-19 timeline in the UK: A comprehensive Covid-19 timeline for the United Kingdom from March 2020 to March 2021 detailing national and local restrictions and national lockdowns... by Katy Andrews (22311170)

Transcriptome and Metabolome Based Mechanisms Revealing the Accumulation and Transformation of Sugars and Fats in Pinus armandii Seed Kernels during the Harvesting Period by Nan Li (155066)

“…The results revealed that during the maturation of P. armandii seed kernels, there was a significant increase in the width, thickness, and weight of the seed kernels, as well as a significant accumulation of sucrose, soluble sugars, proteins, starch, flavonoids, and polyphenols and a significant decrease in lipid content. …”

Flowchart of the study protocol. by Min Wang (21070)

“…Moreover, contrasting with a decrease in the control group, TC group demonstrated significance increased theta oscillatory power in C3, C4, F4, P3, T7, and T8, and a significant negative correlations were observed between state anxiety and F4-θ (r = -0.31, p = 0.04), T7-θ (r = -0.43, p = 0.01), and T8-θ (r = -0.30, p = 0.05).…”

Subject characteristics (n = 45). by Min Wang (21070)

“…Moreover, contrasting with a decrease in the control group, TC group demonstrated significance increased theta oscillatory power in C3, C4, F4, P3, T7, and T8, and a significant negative correlations were observed between state anxiety and F4-θ (r = -0.31, p = 0.04), T7-θ (r = -0.43, p = 0.01), and T8-θ (r = -0.30, p = 0.05).…”

data & R code_20250504.zip<b>Plant invasion decreases the likelihood of community persistence </b><b>through asymmetric competition</b> by Chengjin Chu (19476862)

A map of Tanzania indicating surveyed schools along with regional and council boundaries was created. by Frank Chacky (3446654)

Data Sheet 1_Nicorandil reduces the antimicrobial effectiveness of polymyxin E against Klebsiella pneumoniae by decreasing reactive oxygen species accumulation.pdf by Rongqing Zhu (22261801)

Dopamine receptors D1, D2, and D4 modulate electrical synapses and excitability in the thalamic reticular nucleus supplementary table by Mitchell Vaughn (19871487)

Everolimus decreased mesangial TfR1 expression in α1^KICD89^Tg mice. by Alexandra Cambier (22307216)

Table 1_Beyond interferon gamma - decreased cellular response to COVID-19 vaccination booster in patients with autoimmune inflammatory rheumatic diseases.docx by Jakub Wroński (14031216)

Causes and consequences of long-term defaunation in multi-species aggregations: Species traits predict freshwater mussel declines and decreases in biogeochemical storage and recycl... by Jonathan Lopez (16993383)

Data Sheet 1_Bletilla striata polysaccharides ameliorate metabolic-associated fatty liver disease by decreasing the NLRP3 inflammasome and pyroptosis.pdf by Tingting Yu (419018)

Positioning errors of different algorithms on the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

Specific parameters of the test sequence in the a multi-modal and multi-scenario dataset for ground robots dataset. by Hongliang Zou (20707270)

Symbiodiniaceae cell density of (A) <i>Acropora</i> sp. and (B) <i>P. verrucosa</i>, areal chlorophyll content of (C) <i>Acropora</i> sp. and (D) <i>P. verrucosa</i>, and chlorophy... by Malte Ostendarp (13217973)

Dose determination and cell viability estimation of (A) NF-Orientin and (B) Native Orientin using MCF-7 cell lines. by Yashwanth Elumalai (21743452)

Results of two-way ANCOVA for <i>InR</i> and <i>Thor</i> expression differences by temperature and nutritional state interaction with <i>FoxO</i> as a covariate. by Tucker Hopkins (20790529)

Physics-Assisted Machine Learning for the Simulation of the Slurry Drying in the Manufacturing Process of Battery Electrodes: A Hybrid Time-Dependent VGG16-DEM Model by Diego E. Galvez-Aranda (9436672)

“…This model predicts the microstructure evolution leading to the formation of the electrode as a time-series along the drying process. The hybrid approach consists in performing a certain amount of DEM simulation steps, <i>n</i>_DEM, after every DL prediction, mitigating the risk of unphysical predictions, like overlapping particles. …”