Effect of temperature and time on Tc of the mixture of PC/PA-12 powder. by Saleh Ahmed Aldahash (16441937)

Subjects:

Impact of temperature and duration on the Tm of PC/PA-12 powder mixture. by Saleh Ahmed Aldahash (16441937)

Subjects:

Influence of temperature and duration on the Tg of the cement/PA-12 powder mixture. by Saleh Ahmed Aldahash (16441937)

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COVID19 effect on essential services. by Admas Abera (11821659)

“…The present study found that the mean number of patients treated for TB declined by 35 patients (β: -34.62; 95%CI: -50.29, -18.95) compared to the pre-COVID-19 era while the number of new patients enrolled for ART decreased by 71 patients (β: -70.62; 95%CI: -107.19, -34.05). …”

Battery parameters. by Peijian Jin (22265437)

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

Additional file 3 of Single-cell profiling reveals a reduced epithelial defense system, decreased immune responses and the immune regulatory roles of different fibroblast subpopula... by Lin Lin (46073)

“…Changes in the expression of TLRs, the chemokine system and metabolic activities in macrophages. (A) Violin plot showing the differences in the gene signature scores of chemokines and Toll-like receptors between CAG and control samples. …”

The aging parameters of each group of batteries. by Peijian Jin (22265437)

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

Minimal data set. by Peijian Jin (22265437)

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

Experimental lithium-ion batteries. by Peijian Jin (22265437)

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

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)

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)

Mean GHQ scores (2019- September 2021). by Mhairi Webster (20454888)

“…Domestic and familial factors did not have a significant impact on young people’s mental health.…”

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