Effect of Viscosol on upstream mediators of inflammasomes activation, PTP1B and inflammasome complexes. by Summan Thahiem (20988319)

The expression profile of lipogenic genes, oxidative stress mediators as well as UPR^ER and mitochondrial stress markers. by Summan Thahiem (20988319)

Effect of Viscosol on the expression of inflammatory cytokines, chemokines as well as cell death pathways. by Summan Thahiem (20988319)

“…The results shown are represented as mean ±  SD. Significant differences compared to control (****<i>p</i> < 0.0001, ***<i>p</i> < 0.0001, **<i>p</i> < 0.01 and * <i>p</i> <  0.05; two-wayANOVA and Tukey’s test).…”

Dynamics and functional role of TOR signaling during cell cycle re-entry in Vasa2+/Piwi1+ cells after refeeding. by Eudald Pascual-Carreras (12115380)

Effect of imidacloprid and rutin administration on wet mass, dry mass, and water content of the thorax in Africanized honey bee foragers. by Juan P. Hernández (22216133)

Effect of imidacloprid (Im) and rutin (Ru) administration on evaporation dynamics of extracellular fluid (ECF) extracted from thoraxes of Africanized honey bee foragers. by Juan P. Hernández (22216133)

Effect of imidacloprid (Im) and rutin (Ru) administration on thoracic electrical impedance in Africanized honey bee foragers. by Juan P. Hernández (22216133)

Feeding and starvation affect the proportion and cell cycle activity of Vasa2+/Piwi1+ cells. by Eudald Pascual-Carreras (12115380)

AO/EtBr Staining of Cancer cell lines: <i>To check whether vitamin D3 promoted cell death in cancer cells, a dual staining protocol was implemented as detailed in the methods secti... by Vidya G. Bettada (22208808)

pRPS6 and proliferation rates of starved Vasa2+/Piwi1+ cells were independent on the daytime of refeeding, and phospho-RPS6 was found in S- and M-phase Vasa2+/Piwi1+ cells. by Eudald Pascual-Carreras (12115380)

The TOR inhibitors Rapamycin and AZD-8055 strongly reduce RPS6 phosphorylation and cell proliferation in Vasa2+/Piwi1+ cells. by Eudald Pascual-Carreras (12115380)

“…<i>n</i> = 2–4 biological replicates per condition, with 15 individuals per replicate. Significance levels for Student <i>t</i> test are indicated for adjusted <i>p</i> values: *<i>p</i> < 0.05, ***<i>p</i> < 0.001, ***<i>p</i> < 0.0001. d: day(s), n.s.: non-significant. …”

Flowchart of participants in this study. by Yubo Teng (21246745)

“…Participants were categorized into quartiles based on UACR levels. Multivariate linear regression models were used to evaluate the association between UACR and cognitive scores. …”

Responses to speech onset and target nouns in relation to cognitive decline and context. by Elena Bolt (20396190)

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on in the guaicaolperoxydase activity (GPOX) in shoots (... by Amal Bouallegue (21512298)

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on shoots (A) and roots (B) DW of lentil plants. by Amal Bouallegue (21512298)

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on the superoxide dismutase activity (SOD) in shoots (A)... by Amal Bouallegue (21512298)

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on malondialdehyde (MDA) level in shoots (A) and roots (... by Amal Bouallegue (21512298)

Effect of 0.1mM salicylic acid (SA) or hydrogen peroxide (H₂O₂) and salt treatment (0 and 75 mM NaCl) on hydrogen peroxide (H₂O₂) conten... by Amal Bouallegue (21512298)

Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”