DataSheet_1_An anti-sortilin affibody-peptide fusion inhibits sortilin-mediated progranulin degradation.docx by Moira Ek (19350559)

“…<p>Heterozygous loss-of-function mutations in the GRN gene are a common cause of frontotemporal dementia. Such mutations lead to decreased plasma and cerebrospinal fluid levels of progranulin (PGRN), a neurotrophic factor with lysosomal functions. …”

The proposed method work-flow. by Hoang Thanh Nhon (22311837)

Effect of 10-undecynoic acid on acidogenicity and acidurity of <i>Streptococcus mutans</i> UA159. by Anna Goc (316065)

“…<p>(A) Glycolytic acid production was determined by monitoring the pH decrease in sucrose solution (1% v/v) over a period of 2 h. …”

Pre-training refines the spatio-temporal receptive field of neurons in the output layer. by Lilly May (18993384)

“…Notably, the decrease in the receptive field size over the 10 frames for each model is a result of the convolution process. …”

The effects of Mycobacterium tuberculosis on T cell responsiveness in granulomas by Jess Millar (620726)

“…We create a novel hybrid, multi-scale computational model by linking these two models putting these equations directly into antigen presenting cells within <i>GranSim</i> resulting in a MSM that spans scales from intracellular to tissue.…”

Responses of woody and grassland ecosystems to increased carbon dioxide as water supply varies by Yude Pan (2902991)

“…Published results indicate that, for a ~50% increase in CO₂ concentration to ~560 ppm, aboveground net primary productivity (ANPP) and total net primary productivity `(NPP) in forests increase on average by ~25%. …”

SAR and molecular mechanism studies of monoamine oxidase inhibition by selected chalcone analogs by Raed Shalaby (3756112)

“…<p>The present study describes the synthesis of a series of 22 chalcone analogs. These compounds were evaluated as potential human MAO-A and MAO-B inhibitors. …”

Antimicrobial zein coatings plasticized with garlic and thyme essential oils by Lívio Antônio Silva Pereira (6719903)

Reactive oxygen species from mitochondria impacts trophoblast fusion and the production of endocrine hormones by syncytiotrophoblasts by O’Llenecia S. Walker (8486163)

“…Increased mitochondrial ROS resulted in a significant decrease in the transcripts which encode for proteins associated with fusion (<i>GCM1</i>, <i>ERVW-1</i>, and <i>ERVFRD-1</i>) resulting in a 5-fold decrease in the percentage of BeWo fusion. …”

HG module schematic. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Label data volume and label distribution. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

The structure of the context guided block. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

SEnet module. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

AC-LayeringNetV2 architecture module. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Cracks included in the dataset. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Loss function comparison plot. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Edge device performance benchmarking. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Typical error cases. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Computational efficiency comparison. by Wenhao Ren (2561731)

“…Experimental results on a benchmark dataset demonstrate a 2.20% improvement in precision, a 3.50% increase in recall, and a 1.90% rise in mAP@50 compared to the baseline model. …”

Energy landscapes of the model with and without descending loops. by Pantelis Leptourgos (9767840)