Data Sheet 5_Mechanistic study of the hsa_circ_0074158 binding EIF4A3 impairing sepsis-induced endothelial barrier.zip by Haiyan Liao (6100043)

“…RNA pull-down, RNA immunoprecipitation (RIP), and actinomycin D experiments were used to show that circ_0074158 impacts endothelial barrier function in sepsis by reducing the stability of the host gene CTNNA1 (mRNA) after binding to EIF4A3.</p>Results<p>In both LPS-treated human umbilical vein endothelial cells (HUVECs) and cecal ligation and puncture (CLP) murine models, the overexpression of hsa_circ_0074158 (the mouse homolog of hsa_circ_0074158 is named circ_Ctnna1) significantly decreased CTNNA1 mRNA stability and increased endothelial hyperpermeability, while its knockdown restored barrier integrity. …”

Table 1_Gamma knife radiosurgery for cerebral cavernous malformations: biologically effective dose predicts therapeutic outcomes.docx by Xiaoman Shi (12587770)

“…</p>Conclusion<p>GKRS significantly reduced hemorrhage risk and promoted lesion regression in CCMs. …”

Interaction panel of Treat × Period effect (T × P) for starter intake (g/d), body weight (kg), average daily gain (g/d), and feed efficiency (g/g) as influenced by feeding pasteuri... by Shahryar Kargar (18880600)

Interaction panel of Treat × Period effect (T × P) for ether extract intake (g/d) as influenced by feeding pasteurized waste milk (WM) or milk replacer (MR) to newborn Holstein cal... by Shahryar Kargar (18880600)

Table 2_Clinical features and genetic analysis of acrodermatitis enteropathica in an ethnic minority infant from Western China: a case report and literature review.xlsx by Tuerhongjiang Axirejiang (22346272)

“…Her serum zinc level significantly decreased (0.19 mg/L). Whole-exome sequencing revealed a homozygous c.197G > T(p. …”

Table 1_Clinical features and genetic analysis of acrodermatitis enteropathica in an ethnic minority infant from Western China: a case report and literature review.xlsx by Tuerhongjiang Axirejiang (22346272)

“…Her serum zinc level significantly decreased (0.19 mg/L). Whole-exome sequencing revealed a homozygous c.197G > T(p. …”

Data Sheet 1_Regulation of SLC7A11 by LncRNA GPRC5D-AS1 mediates ferroptosis in skeletal muscle: Mechanistic exploration of sarcopenia.pdf by Wei Gong (112494)

“…In the sarcopenia group, both GPRC5D-AS1 and SLC7A11 expression levels decreased significantly, along with SLC7A11 protein translation. …”

Supplementary file 1_Regulation of SLC7A11 by LncRNA GPRC5D-AS1 mediates ferroptosis in skeletal muscle: Mechanistic exploration of sarcopenia.pdf by Wei Gong (112494)

“…In the sarcopenia group, both GPRC5D-AS1 and SLC7A11 expression levels decreased significantly, along with SLC7A11 protein translation. …”

Interaction panel of Treat × Period effect (T × P) for eating time (min/8-h) and sorting index (%) on sieve 2.36 mm and bottom pan as influenced by feeding pasteurized waste milk (... by Shahryar Kargar (18880600)

Individual cost data. by Jamal Atfeh (21212547)

“…</p><p>Results</p><p>Two comparative retrospective cohort studies were retrieved from the literature review. They suggested a decreased incidence of wound healing complications with iNPWT compared to standard dressings, although no difference was found in the PICO-PTC study. …”

School learning model dispositions data. by David A. Katz (10056006)

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. …”

Video 1_The clinical application value of mixed reality in robotic laparoscopic partial nephrectomy.mp4 by Xin Chang Zou (20129301)

“…Within the subgroup with a R.E.N.A.L. score of less than 7 points, the MR group only showed a significant reduction in operation time [(134.55 ± 150.190) min vs. (150.19 ± 28.638) min, P = 0.045], with no notable differences in other parameters. …”

Bandages: KT (3A) and RT (3B). by María García-Arrabé (21156737)

“…The KT showed a significant increase in the activation of the PL muscle during the first contact phase of the SLDJ (p =  0.046). …”

Data Sheet 2_MiR-216a-5p protects against high glucose-induced HMC injury by targeting the HMGB1/RAGE signaling pathway.pdf by Juan Zhang (48597)

“…In vitro experiments, in which high glucose concentrations were used to stimulate human mesangial cells (HMCs), demonstrated a significant increase in the protein level of high mobility group box 1 (HMGB1) and a marked decrease in miR-216a-5p expression (all P < 0.05). …”

Data Sheet 1_MiR-216a-5p protects against high glucose-induced HMC injury by targeting the HMGB1/RAGE signaling pathway.docx by Juan Zhang (48597)

“…In vitro experiments, in which high glucose concentrations were used to stimulate human mesangial cells (HMCs), demonstrated a significant increase in the protein level of high mobility group box 1 (HMGB1) and a marked decrease in miR-216a-5p expression (all P < 0.05). …”