Schematic diagram of two time intervals. by Peijian Jin (22265437)

“…We observed a pattern in which the time intervals between the waveforms decreased rapidly at first and then stabilized. …”

HAstV-8 (D471S, N512D) spike has decreased or no binding to FcRn compared to wild-type HAstV-8 spike. by Catalina Aguilera-Flores (21743843)

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. …”

Age- and sex- specific median yearly incidence (A) and mortality (B) rate of liver cancer per 10⁶ population over 2014–2023. by Ayana Ablayeva (22103708)

Box plot displaying the distributions of the deconvolution derived proportions of cell types. by Arttu Autio-Kimura (20454681)

CCND1 is a target gene of miR-1247-3p. by Dequan Wang (6007007)

Table 1_Prognostic significance of fibrinogen levels in sepsis-associated acute kidney injury: unveiling a nonlinear relationship and clinical implications.docx by Manqin Chen (20129541)

“…Particularly, when their fibrinogen levels were less than 1.6 g/l, a concomitant decrease in 28-day mortality was observed as fibrinogen levels increased.…”

The interaction effect of urinary bisphenol A exposure levels at two time points during childhood on serum thyroid hormone concentrations in adolescence. by Jung Eun Choi (563339)

BT9 exhibits a dose- and time-dependent cytotoxic effect on medulloblastoma. by Zahra Motahari (6814013)

Effects of long-term organic fertilizer and straw on content of soil mechanical-stable aggregates in a rapeseed–maize rotation system. by Xiaoqin Tian (18621436)

Effects of long-term organic fertilizer and straw on content of soil water-stable aggregates in a rapeseed–maize rotation system. by Xiaoqin Tian (18621436)

Dose determination and cell viability estimation of (A) NF-Orientin and (B) Native Orientin using MCF-7 cell lines. by Yashwanth Elumalai (21743452)

<i>In vitro</i> characterization of the mnuA::Tn and 0690::Tn mutants. by Aga E. Gelgie (17661720)

Total number of applications to each discipline grouped by (a) clinical disciplines, (b) diagnostic disciplines, and (c) surgical disciplines. by Lucy Hui (17538542)

Number of applicants matched to each discipline grouped by (a) clinical disciplines, (b) diagnostic disciplines, and (c) surgical disciplines. by Lucy Hui (17538542)

ERI Thresholds Between Adjacent Zones. by Mingyue Sun (4638535)

“…The transition and desert zones decreased by 49.7% and 37.9%, respectively. The ERI decreased and was strongly correlated with the OLS. …”