Image 1_Iodine-131 induces ferroptosis and synergizes with sulfasalazine in differentiated thyroid cancer cells via suppressing SLC7A11.tif by Li Ling (424480)

“…Moreover, the combination of SAS and ¹³¹I significantly increased the MDA levels and lipid peroxidation, decreased the GSH levels, and suppressed the expression of SLC7A11 and GPX4, while SLC7A11 knockdown significantly enhanced ferroptosis-related markers in DTC cells. …”

Influence intensity of Pressure(a), AOD(b), Lai(c), ET(d), Dew(e) on nitrogen dioxide concentration. by Feifei Cheng (8985345)

DataSheet1_Changes in serum uteroglobin level in type 2 diabetes mellitus patients.docx by Joung Youl Lim (18237598)

“…</p>Conclusions<p>Uteroglobin is a sensitive factor that was decreased even in prediabetes and increased upon treatment with drugs with anti-inflammatory effects. …”

Data Sheet 1_Characterization of Ty21a immunostimulatory effects in the mouse bladder.pdf by Lenka Polak (17777406)

“…Indeed, CD8⁺ T-cell infiltration following Ty21a^FR was significantly decreased in TLR4- and MyD88-KO mice. …”

Data Sheet 1_Unlocking the adaptation mechanisms of the oleaginous microalga Scenedesmus sp. BHU1 under elevated salt stress: a physiochemical, lipidomics and transcriptomics appro... by Rahul Prasad Singh (20283954)

“…<p>Microalgae are vital for their photosynthetic abilities, contributing significantly to global oxygen production, serving as a key trophic level in aquatic ecosystems, aiding in biofuel production, assisting in wastewater treatment, and facilitating the synthesis of valuable biochemicals. …”

Data Sheet 2_Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.pdf by Meiling Liu (390553)

“…Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients.…”

Table 1_Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.xlsx by Meiling Liu (390553)

“…Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients.…”

Table 3_Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.xlsx by Meiling Liu (390553)

“…Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients.…”

Table 4_Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.xlsx by Meiling Liu (390553)

“…Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients.…”

Table 2_Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.xlsx by Meiling Liu (390553)

“…Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients.…”

Data Sheet 1_Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.pdf by Meiling Liu (390553)

“…Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients.…”

Table 6_Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.xlsx by Meiling Liu (390553)

“…Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients.…”

Table 5_Identification of potential miRNA biomarkers for neurobrucellosis diagnosis.xlsx by Meiling Liu (390553)

“…Additionally, RT-qPCR results revealed decreased levels of VAV3 (vav guanine nucleotide exchange factor 3, a target of miR-499a-5p) and IGF1 (insulin like growth factor 1, a target of miR-576-5p) in the CSF samples of NB patients.…”

DataSheet1_RETRACTED: MiRNA-200b Regulates RMP7-Induced Increases in Blood-Tumor Barrier Permeability by Targeting RhoA and ROCKII.XLS by Teng Ma (109475)

“…Overexpression of miR-200b was also associated with a down-regulation in RhoA and ROCKII expression, concomitant with a decrease in BTB permeability. …”

Data Sheet 1_Capsaicin induces ferroptosis via suppression of SLC7A11 activity and upregulation of ACSL4 mediated by AMPK in tongue squamous cell carcinoma.zip by Qiwei Zhao (12519351)

“…Moreover, CAP inhibited glutamate release while enhancing BECN1-SLC7A11 binding, suggesting a reduction in SLC7A11 activity through the AMPK/BECN1 pathway. …”

Model parameters. by Nan Zhang (46264)

“…<div><p>Norovirus, primarily transmitted via fomite route, poses a significant threat to global public health and the economy. …”

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. …”