Knowledge and attitude towards influenza vaccine. by Xianxian Yang (735059)

“…<div><p>Background</p><p>Seasonal influenza is significantly associated with high morbidity and mortality. …”

<i>SEL1L</i> variants affect proteasome inhibition sensitivity. by Travis K. Tu’ifua (22008843)

“…<b>(C)</b> <i>NGLY1 WT</i> larvae show no significant decrease in size with 1μM BTZ treatment, regardless of <i>SEL1L</i> genotype (Larval size on DMSO: <i><i>SEL1L</i></i>^<i>+/+</i> 25.75 ± 6.91, <i>SEL1L</i>^{<i>S780P/+</i>} 23.74 ± 6.94, and <i>SEL1L</i>^{<i>Δ806-809/+</i>} 26.42 ± 4.29; larval size on BTZ: <i><i>SEL1L</i></i>^<i>+/+</i> 24.75 ± 5.63, <i>SEL1L</i>^{<i>S780P/+</i>} 20.96 ± 7.38, and <i>SEL1L</i>^{<i>Δ806-809/+</i>} 25.70 ± 5.23).…”

Comparison of hemodynamic data. by Seung-Jae Joo (3620240)

“…After handgrip exercise, an increase in E_LVI (<i>P</i> = 0.021) and a decrease in VAC (<i>P</i> = 0.035) were observed specifically in men, with no corresponding changes noted in women. …”

Comparison of echocardiographic data. by Seung-Jae Joo (3620240)

“…After handgrip exercise, an increase in E_LVI (<i>P</i> = 0.021) and a decrease in VAC (<i>P</i> = 0.035) were observed specifically in men, with no corresponding changes noted in women. …”

Minimal raw clinical data with anonymization. by Seung-Jae Joo (3620240)

“…After handgrip exercise, an increase in E_LVI (<i>P</i> = 0.021) and a decrease in VAC (<i>P</i> = 0.035) were observed specifically in men, with no corresponding changes noted in women. …”

Investigating the Impact of Base Pair Mismatches on Cas13d Cleavage Efficiency Using Molecular Dynamics Simulations by Ye Liu (296340)

“…However, the presence of mismatches significantly undermines the cleavage efficiency of Cas13d to target RNA. …”

Baseline characteristics of patients. by Seung-Jae Joo (3620240)

“…After handgrip exercise, an increase in E_LVI (<i>P</i> = 0.021) and a decrease in VAC (<i>P</i> = 0.035) were observed specifically in men, with no corresponding changes noted in women. …”

Variability of gait features during adaptation. by Samantha Jeffcoat (22783930)

“…Variability significantly decreased during MA and LA. No differences between groups were observed during MA and LA. …”

Effects of Alteration in ATF3 expression on neurological function and local brain edema in mice with ICH. by Tao Cui (124471)

“…Compared with the ICH model group, the water content in the basal ganglia of mice with ATF3 overexpression was significantly increased, while that in the ATF3 downregulation group was significantly decreased. …”

The chain cable parameters. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

Robustness optimization strategy. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

Mooring system. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

The “Guo Hai Shi 1” offshore test platform. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

Difference comparison. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

Comparison of model draft and actual draft. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

Resultant moment diagram. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

Regular wave condition combination. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

Ballast tank water volume setting. by Huiyuan Zheng (12889196)

“…Nevertheless, a 40% reduction in roll motion is achieved (3.36° in Condition 4 vs. 5.60° in Condition 1), along with a 24.5% reduction in yaw motion (39.22° in Condition 4 vs. 51.94° in Condition 1). (3) In irregular wave simulations, the ballast tanks effectively reduce the heave amplitude by up to 8.34% in sea state level 4 and 6.06% in sea state level 8, thereby enhancing its wave-following performance in the heave degree of freedom. (4) A CNN_BiLSTM_Attention algorithm is developed using hydrodynamic analysis generated datasets to predict the pitch motion time series of the platform under different ballast water conditions and sea states, while the model has a superior prediction performance (R² = 0.9658, RMSE = 0.5343, MAE = 0.3188, representing a 4.82% increase in R² and 30.31% reduction in RMSE compared to the original model). …”

Step length asymmetry and step width during split-belt adaptation. by Samantha Jeffcoat (22783930)

PfIleRS-SANC456 delta <i>CC.</i> by Curtis Chepsiror (21368103)