Resistant Starch Nanoparticles Induce Colitis through Lysosomal Exocytosis in Mice by Chenglu Peng (19935965)

“…Resistant starch (RS) is present in various natural and processed foods as well as medications. It has garnered significant attention from both scientists and consumers due to its notable health benefits. …”

Results of SD-TOPSIS application ‐ combination A. by Roman Vavrek (13200141)

“…Based on the performed analyses, we can see that significant differences result from their reduction. …”

ANOM analysis of evaluated criteria K1–K5. by Roman Vavrek (13200141)

“…Based on the performed analyses, we can see that significant differences result from their reduction. …”

Exclusion and enrollment summary from NHANES. by Lu Han (151620)

“…</p><p>Methods</p><p>Utilizing NHANES database, we employed binary logistic regression and generalized additive models to explore the relationship between systemic inflammatory index and HCV infection. …”

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

“…By encapsulating guests with varying reduction potentials, including 2,5-dichloro-1,4-benzoquinone (ClBQ), 2,1,3-benzothiadiazole (BTD), and malononitrile (MN), we observed significant changes in the electrical conductivity. …”

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

“…By encapsulating guests with varying reduction potentials, including 2,5-dichloro-1,4-benzoquinone (ClBQ), 2,1,3-benzothiadiazole (BTD), and malononitrile (MN), we observed significant changes in the electrical conductivity. …”

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

“…By encapsulating guests with varying reduction potentials, including 2,5-dichloro-1,4-benzoquinone (ClBQ), 2,1,3-benzothiadiazole (BTD), and malononitrile (MN), we observed significant changes in the electrical conductivity. …”

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

“…By encapsulating guests with varying reduction potentials, including 2,5-dichloro-1,4-benzoquinone (ClBQ), 2,1,3-benzothiadiazole (BTD), and malononitrile (MN), we observed significant changes in the electrical conductivity. …”

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

“…By encapsulating guests with varying reduction potentials, including 2,5-dichloro-1,4-benzoquinone (ClBQ), 2,1,3-benzothiadiazole (BTD), and malononitrile (MN), we observed significant changes in the electrical conductivity. …”

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

“…By encapsulating guests with varying reduction potentials, including 2,5-dichloro-1,4-benzoquinone (ClBQ), 2,1,3-benzothiadiazole (BTD), and malononitrile (MN), we observed significant changes in the electrical conductivity. …”

Forest plots comparing demographic factors within SARS-CoV-2 variant waves. by Rebecca M. Cantu (19787070)

Green Fabrication of Biobased and Degradable Poly(lactic acid)/Poly(butylene succinate) Open-Cell Foams for Highly Efficient Oil–Water Separation with Ultrafast Degradation by Jie Yuan (208425)

“…Compared to PLA/PBS9 foam with a similar expansion ratio and open-cell content, the adsorption capacity of PLA/PBS6 has increased from 18.8 to 24.5 g/g, but the adsorption rate constant decreased. Smaller cells are more effective at increasing the adsorption capacity, while larger ones are beneficial in reducing the saturation time. …”

Green Fabrication of Biobased and Degradable Poly(lactic acid)/Poly(butylene succinate) Open-Cell Foams for Highly Efficient Oil–Water Separation with Ultrafast Degradation by Jie Yuan (208425)

“…Compared to PLA/PBS9 foam with a similar expansion ratio and open-cell content, the adsorption capacity of PLA/PBS6 has increased from 18.8 to 24.5 g/g, but the adsorption rate constant decreased. Smaller cells are more effective at increasing the adsorption capacity, while larger ones are beneficial in reducing the saturation time. …”

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. …”

ROC curve 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. …”