Identification of differentially expressed proteins. by Du Leng (20421711)

LA is a more potent inhibitor of HIV-1 virion-associated RT activity compared to acetic acid or low pH (HCl) alone. by Muriel Aldunate (22411177)

Schematic of fixture. by Shaheer Ahmed Khan (17797647)

“…The joint efficiency of polymer is significantly improved as a result of the effective heat distribution and fusion during the welding. …”

Experimentation plan. by Shaheer Ahmed Khan (17797647)

“…The joint efficiency of polymer is significantly improved as a result of the effective heat distribution and fusion during the welding. …”

Experimental details. by Shaheer Ahmed Khan (17797647)

“…The joint efficiency of polymer is significantly improved as a result of the effective heat distribution and fusion during the welding. …”

Dimensions of FSW Tool. by Shaheer Ahmed Khan (17797647)

“…The joint efficiency of polymer is significantly improved as a result of the effective heat distribution and fusion during the welding. …”

Fabricated Fixture with labelled view. by Shaheer Ahmed Khan (17797647)

“…The joint efficiency of polymer is significantly improved as a result of the effective heat distribution and fusion during the welding. …”

Dog-bone specimens after tensile testing. by Shaheer Ahmed Khan (17797647)

“…The joint efficiency of polymer is significantly improved as a result of the effective heat distribution and fusion during the welding. …”

Dog-bone specimens before tensile testing. by Shaheer Ahmed Khan (17797647)

“…The joint efficiency of polymer is significantly improved as a result of the effective heat distribution and fusion during the welding. …”

Experimental run of FSW on CNC milling machine. by Shaheer Ahmed Khan (17797647)

“…The joint efficiency of polymer is significantly improved as a result of the effective heat distribution and fusion during the welding. …”

Scheme of the SiTFarm tool–farm to sector level. by Jure Brečko (20314959)

“…However, the variability is significant, with a coefficient of variation 0.74. Only 25% of farms exceeded 17.15 €/h, while 25% did not surpass 4.46 €/h. …”

S1 File - by Jure Brečko (20314959)

“…However, the variability is significant, with a coefficient of variation 0.74. Only 25% of farms exceeded 17.15 €/h, while 25% did not surpass 4.46 €/h. …”

GHG emissions in TAHs. by Jure Brečko (20314959)

“…However, the variability is significant, with a coefficient of variation 0.74. Only 25% of farms exceeded 17.15 €/h, while 25% did not surpass 4.46 €/h. …”

Variation law of UCS. by Wenyu Lv (20139458)

“…Notably, the attenuation constant λ follows a monotonically decreasing pattern with increasing loading rate. …”

Detail of the personalized-enhanced GCN. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”

Enhanced multi-component module. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”

The architecture of the TCBiL. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”

Detail of the encoder. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”

Detail of the Fourier transform. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”

Detail of the decoder. by Yuanming Ding (12842858)

“…The model achieves a significant enhancement in prediction accuracy through the introduction of the attention-based Personalized-enhanced Fusion Graph Convolutional Network (aPFGCN) and the Temporal Convolutional Bidirectional Long Short-Term Memory (TCBiL) module. …”