Early IL-33 administration increases trTregs and ILC2 numbers but does not enhance parasite-specific CD8+ T cells at 10 days post infection. by Santiago Boccardo (5927954)

Combined 3D-MRI showing the patellar cartilage superimposed on the femoral trochlear cartilage before and after OWHTO in all cases. by Yusuke Fuchioka (22806178)

Raw data. by Camilla Albano (16446679)

“…Conversely, silencing FASN or applying FASN inhibitors (<i>i.e</i>., CMS121 and C75) markedly reduces the infectivity of newly released HSV-1 virions, suggesting that, while initial replication remains unaffected, FASN is crucial for maintaining virion structure and facilitating entry into host cells. Additionally, we show that a source of lipid-rich external factors provided by fetal bovine serum significantly increases HSV-1 infectivity. …”

AC-LPN circuit control high temperature induced increase of evening sleep. by Xin Yuan (174619)

“…(D–G) Optogenetic activation of ppkACs with CsChrimson (<i>Ppk-LexA>LexAop-CsChrimson</i>) increases LPN activity in vivo (D). Scale bars, 10 mm. …”

Blood Pressure and LDL-C During Follow-up. by Karl Ingard (22582091)

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Baseline Characteristics of Included Patients. by Karl Ingard (22582091)

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Box-whisker plots of the relative abundances (%) of coccolithophore species characteristic for the “pseudo-stadial” (PS; 1854.6–1852.8 cm), the interstadial before the YTT eruption... by Jose Dominick Guballa (19739909)

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S1 Raw data - by Dominic Michael Rasp (19959412)

“…Compared to pre-match values, hamstring strength was significantly decreased after 15 and 30 minutes of simulated soccer match for the non-dominant and dominant leg, respectively. …”

S2 Raw data - by Dominic Michael Rasp (19959412)

“…Compared to pre-match values, hamstring strength was significantly decreased after 15 and 30 minutes of simulated soccer match for the non-dominant and dominant leg, respectively. …”

Voxel-based whole-hemisphere analysis shows regional and dose-dependent decrease of microglia. by Francesca Catto (21253435)

“…<p>(A) Each 3-dimensional map of statistically affected voxels (p < 0.05, with the red scale, representing the significance in decrease of microglia, and the cyan scale, representing the increase in microglia; reference atlas is grey) summarizes all the treated and control samples within a cohort (3 samples per group). …”

Summary of HSS and LSI during the LIST. by Dominic Michael Rasp (19959412)

“…Compared to pre-match values, hamstring strength was significantly decreased after 15 and 30 minutes of simulated soccer match for the non-dominant and dominant leg, respectively. …”

The study flowchart. by Yuko Noda (20396439)

“…There was no significant difference in non-HDL-C levels in the long-term groups or at 1 year. …”

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. …”

Major hyperparameters of RF-MLPR. 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. …”

Results of RF algorithm screening factors. 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. …”

Schematic diagram of the basic principles of 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. …”

The PP1/PP2A inhibitor calyculin A increases phosphorylated Ser295 of PSD-95 concomitantly with the activation of JNK1. by Takahiko Chimura (729098)

Bar graphs showing the means and 95% CI of each retinal layer thickness at each visit. by Jung-Tae Kim (8997767)

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Macular regions analyzed by spectral-domain optical coherence tomography scan in the retinal thickness map analysis. by Jung-Tae Kim (8997767)

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