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%). …”

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%). …”

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%). …”

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%). …”

Structural clashes in TP53 mutants: (A) G266E mutation causes steric clashes with PHE109 and LEU257, destabilizing the structure. by Ashraf Attia Mahmoud (21262201)

Regression situation of each cross-section. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Statistical Table of Formation Loss Rate <i>V1.</i> by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

Fitting Results for Each Operating Condition. by Puzhen An (21169189)

“…Furthermore, as the coarse particle content rises, the strata loss rate tends to decrease gradually. The final settlement curve, calculated using the method that considers changes in coarse particle content, is closer to the measured values. …”

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

Upper-crust thermal evolution of the Patagonian Precordillera basement (Argentina): insights from fission track, (U-Th)/He thermochronology and geodynamic significance by Paulo Marcos (7459064)

“…This first stage might have resulted from coupled tectonothermal processes consisting of extensional faulting and high-temperature gradient. Subsequently, a relatively fast temperature decrease (2.75–5°C/My) for the late Early Cretaceous to Paleocene is likely related to a compressive stage associated with the growth of the early Andean Orogen. …”

<i>Schistosoma haematobium</i> prevalence in hotspot implementation units (IUs) in annual school-based surveys (A) and household-based surveys (B) of the SchistoBreak study in Pemb... by Lydia Trippler (10136316)

Frequency of tobacco smoking among smokers. by Prasanna Herath (20714794)

“…</p><p>Results</p><p>Smokers had a significantly higher prevalence of respiratory symptoms and significantly lower FVC, FEV1, FEV1/ FVC, and PEF, FEF 25–75% values than non-smokers. …”

Brown planthoppers display a distinct post mating response and male accessory gland extract induces a post-mating response. by Yi-Jie Zhang (713506)

NASA TLX results of Task 1 for (a) low-intensity light, (b) out of vision hands and (c) self occlusion error. by Mucahit Gemici (21519313)

Summary of cell-based assay EC50 results for WT BMP9 and A347E variant. by Tobias G. Schips (21799838)

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. …”