AGRONOMIC PERFORMANCE OF ROCKET AS A FUNCTION OF PHOSPHORUS FERTILISATION IN A P-RICH SOIL1 by CAMILA SENO NASCIMENTO (5084498)

“…Five P doses (0, 50, 100, 200, and 300 kg ha-1 P2O5) were evaluated in a randomised complete block design with four replicates. …”

Effect of D₂/D₃ antagonist sulpiride on GBR-induced recognition memory impairments. by Jill Rocchetti (16883936)

Fig 11 - by Naveed Arshad (19712985)

Fig 9 - by Naveed Arshad (19712985)

Predicted global distribution of tidal marshes and mangroves. by Hirotada Moki (17441869)

Boxplot of Teamwork and collaboration scores as a function of Time. by Thales Guardia de Barros (22216025)

H89, but not MDL12330A (MDL), pretreatment suppressed CuB-induced VASP activation, actin aggregation and cell deformation. by Yan-Ting Zhang (545710)

“…(B,C) CuB decreased the levels of cAMP in a time- and dose-dependent manner (B). …”

Sensitivity of the long-term reduction in microfilarial load in individuals under 20 years of age to the assumed rate of decay of vaccine efficacy. by Hugo C. Turner (407442)

“…<p>The mean duration of vaccine prophylactic (against incoming L3 larvae) and therapeutic (against microfilariae) activity is 1/the rate of decay (i.e. 5, 10, 20 and 50 years). …”

Gender-specific incidence trends of HFMD in Guangzhou from 2013 to 2023. by Haipeng Luo (5322419)

Fig 10 - by Naveed Arshad (19712985)

Fructose-1,6-bisphosphate induces non-activated phenotype in fibroblasts. by Henrique Bregolin Dias (3700603)

Training set data expansion. by Qingjun Yu (1649473)

“…A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”

Structural plane recognition effect. by Qingjun Yu (1649473)

“…A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”

Structural plane classification. by Qingjun Yu (1649473)

“…A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”

Boxplot of Patient-centered care scores as a function of Time. by Thales Guardia de Barros (22216025)

Mixup data expansion. by Qingjun Yu (1649473)

“…A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”

Marking example. by Qingjun Yu (1649473)

“…A dedicated network model for segmenting structural planes was obtained, and the model achieved a maximum F-measure value of 0.749 when the confidence threshold was set to 0.7, with an accuracy rate of up to 0.85 within the range of recall rate greater than 0.5. Overall, the model has high accuracy for segmenting structural planes and very low mean absolute error, indicating good segmentation accuracy and certain generalization of the network. …”

PEDOT as a Flexible Organic Electrode for a Thin Film Acoustic Energy Harvester by Younghoon Kim (49041)

“…An AO-TEG with a PEDOT electrode (<i>R</i>_e = 200 Ω) showed instantaneous peak-to-peak voltage generation of 11 V under a sound pressure level (SPL) of 90–100 dB. …”

PEDOT as a Flexible Organic Electrode for a Thin Film Acoustic Energy Harvester by Younghoon Kim (49041)

“…An AO-TEG with a PEDOT electrode (<i>R</i>_e = 200 Ω) showed instantaneous peak-to-peak voltage generation of 11 V under a sound pressure level (SPL) of 90–100 dB. …”

PEDOT as a Flexible Organic Electrode for a Thin Film Acoustic Energy Harvester by Younghoon Kim (49041)

“…An AO-TEG with a PEDOT electrode (<i>R</i>_e = 200 Ω) showed instantaneous peak-to-peak voltage generation of 11 V under a sound pressure level (SPL) of 90–100 dB. …”