Geometric model of the binocular system. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Enhanced dataset sample images. by Yaojun Zhang (389482)

“…Results on a specialized dataset reveal that YOLOv8n-BWG outperforms YOLOv8n by increasing the mean Average Precision (mAP) by 4.2%, boosting recognition speed by 21.3% per second, and decreasing both the number of floating-point operations (FLOPs) by 28.9% and model size by 26.3%. …”

Evaluation of chronic <i>in vivo</i> efficacy in 21 days rat MCT model in prevention mode. by Tobias G. Schips (21799838)

The incidence of grooming is most influenced by the addition of an opaque divider, as compared to manipulanda. by Matthew D. Boulanger (22600966)

Navigation error analysis. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Summary of related works. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Research methodology flow diagram. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Positioning error analysis. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Error-Bar graph. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

A Hydrate-Bearing Sediment Gas Replacement Mechanical Behavior Regulation Mechanism and Slope Stability Analysis by Lei Huang (35191)

“…As saturation increases, the Γ value of the critical state line decreases, while the λ value increases. (3) For slope simulations, increased hydrate saturation significantly raises the safety factor for gentler slopes, while the reinforcing effect of gas replacement is weaker for steeper slopes with higher saturation.…”

A Hydrate-Bearing Sediment Gas Replacement Mechanical Behavior Regulation Mechanism and Slope Stability Analysis by Lei Huang (35191)

“…As saturation increases, the Γ value of the critical state line decreases, while the λ value increases. (3) For slope simulations, increased hydrate saturation significantly raises the safety factor for gentler slopes, while the reinforcing effect of gas replacement is weaker for steeper slopes with higher saturation.…”

Robustness of the computational results. by Farhad Razi (22076077)

miR-184 does not downregulate target pSJ and TCJ mRNA levels but changes Nrv2 expression. by Sravya Paluri (5475260)

Overexpression of miR-184 disrupts the blood-brain barrier and larval locomotion. by Sravya Paluri (5475260)

Recognition of <i>F. novicida</i> strains by the mitochondria and Golgi complex in THP-1 cells. by Dhandy Koesoemo Wardhana (21956781)

Recognition of <i>F. novicida</i> strains by lysophagosomes and lysosomes in THP-1 cells. by Dhandy Koesoemo Wardhana (21956781)

Characterization of purified esAEVs based on protein content and the localization of Mif on the surface. by Safia A. Essien (20108379)

Recognition of <i>F. novicida</i> strains by lysophagosomes and lysosomes in HeLa–FcγRII cells. by Dhandy Koesoemo Wardhana (21956781)

Recognition of <i>F. novicida</i> strains by the mitochondria and Golgi complex in HeLa–FcγRII cells. by Dhandy Koesoemo Wardhana (21956781)

Principal coordinates analysis (PCoA). by Wararak Choovanichvong (22110371)

“…Analysis of bacterial abundance revealed a shift in trends as the disease combined from control to NSESKD and SESKD group, respectively, across 7 genera: <i><i>Actinobacillus</i></i>, <i>TM7x</i>, <i><i>Capnocytophaga</i></i>, <i><i>Neisseria</i></i>, and <i><i>Leptotrichia</i></i> increased in abundance, while <i><i>Actinomyces</i></i> and <i><i>Atopobium</i></i> decreased. Linear discriminant analysis effect size (LEfSe) identified <i><i>Leptotrichia</i></i> as a potential biomarker for ESKD (both with and without sarcopenia).…”