Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Co-localization of MMP13 with DCLK1 in various models of colitis. by Kafayat Yusuf (22104155)

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Photomicrographs of H&E-stained cerebellum sections from control and different pregnant mothers: control (A & B) and BM (C & D) groups, showing normal histological structure of the... by Amoura M. Abou-El-Naga (21001524)

Dynamic Covalent Chemistry Enabled Closed-Loop Recycling of Thermally Modified Polymer Membrane by Ching Yoong Loh (17863097)

“…Thermal and mechanical characterizations confirmed the great stability of the membranes, with the Diels–Alder reaction enabling depolymerization and reformation of the network without causing significant degradation. Additionally, the RFMs were recycled the third time, maintaining the fluxes (752 to 823 LMH) from the previous generation with a slight decrease in separation efficiency in dichloromethane-water emulsion separation (98.3 to 97%). …”

Gene inactivation by RNAi of the synMuv suppressor genes encoding the chromatin remodeling and histone methylation factors <i>isw-1</i> and <i>mes-4</i> significantly suppresses th... by Ashwin Seetharaman (615458)

Surgical changes through ISIW implantation. by Sayaka Kimura-Uchida (22793666)

“…Pre- and postoperative data are compared by Tukey’s HSD test and asterisks mean statistical significance (p < 0.05). IOP decreases significantly from 3 to 12 months after surgery whereas GMS decreases from one day to 12 months after surgery. …”

Results of the LMM analysis for IOP change. by Sayaka Kimura-Uchida (22793666)

“…The mean GMS was 2.46 ± 1.33 preoperatively, and decreased to 1.32 ± 1.31 at 3 months, and 1.60 ± 1.41 at 12 months postoperatively. …”

Results of the LMM analysis for GMS change. by Sayaka Kimura-Uchida (22793666)

“…The mean GMS was 2.46 ± 1.33 preoperatively, and decreased to 1.32 ± 1.31 at 3 months, and 1.60 ± 1.41 at 12 months postoperatively. …”

Mineral component content. by Chuan Li (158692)

“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”

Micro-parameters of the numerical model. by Chuan Li (158692)

“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”

Microcracks on the surface of the coal sample. by Chuan Li (158692)

“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”

Flowchart of the test. by Chuan Li (158692)

“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”

Distribution of thermal cracks. by Chuan Li (158692)

“…As the temperature increases, the proportion of tensile cracks decreases, while shear cracks become more prevalent. …”

S1 File - by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for ClinicalBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Student model architecture. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Configuration of the LastBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”

Confusion matrix for DistilBERT model. by Ahmed Akib Jawad Karim (20427740)

“…Referring to LastBERT, a customized student BERT model, we significantly lowered model parameters from 110 million BERT base to 29 million-resulting in a model approximately 73.64% smaller. …”