Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

Lubrication Behavior of Fullerene-Coated Nanoparticles on Rough Surfaces by Guangchao Han (1453198)

“…The optimal nanoparticle concentration reaches approximately 88.8% under high-load conditions, with each 3.55% increase in concentration resulting in a 0.45% reduction in structural deformation and a 0.59 nN decrease in friction. Under low-load conditions, the optimal concentration ranges from 15% to 30% across varying surface roughness levels, reducing friction by 30%–55% compared to the peak kinetic energy conditions. …”

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

Volcano plot on differential expression. by Bingshuo Shi (21485387)

“…The findings revealed that 5558 genes in total were significantly altered during diapause, with pyruvate kinase (PK), trehalose synthase (TPS), superoxide dismutase (SOD), citrate synthase (CS), and 20-hydroxyecdysone (20E) showing significant decreases. …”

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. …”