MF001 protects against alcohol-induced liver inflammation. by Eun-Ho Lee (2696890)

CRNN over-expression promotes the growth of cSCC xenografts in vivo. by Changji Li (4806930)

MF001 alleviates lipid accumulation in primary hepatocytes. by Eun-Ho Lee (2696890)

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)

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)

“…In this study, we present a hybrid Physics-Assisted Machine Learning (PAML) model that integrates Deep Learning (DL) techniques with the classical Discrete Element Method (DEM) to simulate slurry drying during a lithium-ion battery electrode manufacturing process. …”

MF001 reduces lipid accumulation and peroxidation in liver tissues. by Eun-Ho Lee (2696890)

MF001 ameliorated alcohol-induced fatty liver phenotypes in mice. by Eun-Ho Lee (2696890)

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)

Overview of selected datasets. by Tejaswini Baral (14320736)

“…In this study, we analyzed publicly available 16S amplicon sequencing datasets from four geographical locations using a single workflow.…”

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).…”

IRE1 depletion induces cell cycle arrest independently of apoptosis. by Iratxe Zuazo-Gaztelu (21071939)

Training impact on electrical properties of P3 lumbar MNs. Rin: input resistance. Rheobase: lowest intensity of current injected in MNs to elicit an action potential (AP). AP threshold: voltage measured at the foot of the AP. AP amplitude: measured between the resting membrane potential and the AP peak. AP half width: time spent by the potential > 50% of the AP maximum amplitude. AP rise time: time spent by the potential between 10% and 90% of the AP maximum amplitude. AP half decay time: time spent by the potential between the AP maximum amplitude and the 50% decreasing amplitude. ADP: after-depolarization potential. All values are means ± SEM. The number of MNs recorded is indicated between brackets. ns: no significantly different.... by Camille Quilgars (21156495)

“…All values are means ± SEM. The number of MNs recorded is indicated between brackets. ns: no significantly different. …”

Identification and validation of <i>Ctsz</i> as the lead candidate gene underlying <i>Tip5.</i> by Rachel K. Meade (22216529)

IRE1 silencing downregulates cell cycle genes and engages TP53 and specific CDK inhibitors. by Iratxe Zuazo-Gaztelu (21071939)

The sequences of si-RNAs used in this study. by Changji Li (4806930)

“…Using a mouse xenograft model, we demonstrated that the inhibition of CRNN led to a decline in cSCC tumor growth in a living organism, providing evidence of CRNN’s involvement in cSCC occurrence and development. …”

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

IRE1 silencing downregulates cell cycle genes and engages TP53 and specific CDK inhibitors. by Iratxe Zuazo-Gaztelu (21071939)