Curve of data size vs. running time. by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. User satisfaction also improves, with a 19.5% increase in experience ratings. …”

Data (3). by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. User satisfaction also improves, with a 19.5% increase in experience ratings. …”

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

“…Integration efficiency increases by 18.7%, and computational complexity is significantly reduced, with average computation time decreased by 15.4%. User satisfaction also improves, with a 19.5% increase in experience ratings. …”

Data_Sheet_1.doc by Annika Wahl (4384339)

“…The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. …”

Image_3.jpeg by Annika Wahl (4384339)

“…The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. …”

Image_4.jpeg by Annika Wahl (4384339)

“…The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. …”

Image_6.jpeg by Annika Wahl (4384339)

“…The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. …”

Image_2.jpeg by Annika Wahl (4384339)

“…The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. …”

Image_5.jpeg by Annika Wahl (4384339)

“…The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. …”

Image_1.jpeg by Annika Wahl (4384339)

“…The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. …”

Table_1_Awareness of episodic memory and meta-cognitive profiles: associations with cerebrospinal fluid biomarkers at the preclinical stage of the Alzheimer’s continuum.docx by David López-Martos (18695614)

“…The role of SCD and the dyadic contingency was explored with the corresponding stratified analysis.</p>Results<p>CSF Aβ42/40 was non-linearly associated with meta-memory, showing an increased awareness up to Aβ-positivity and a decreased awareness beyond this threshold. …”

Table_1_Biological Activity of Flavonoids and Rare Sesquiterpene Lactones Isolated From Centaurea ragusina L..DOCX by Ulrike Grienke (1670785)

“…In several chromatographic steps, three flavonoids and three sesquiterpene lactones (STLs) were isolated and identified from the most active fractions of the ethanol extract. …”

Image_3_Footprint of pancreas infiltrating and circulating immune cells throughout type 1 diabetes development.jpeg by Ylke Bruggeman (9627928)

“…These cells were intermediates between naïve and effector memory cells as identified by single cell RNA sequencing and might be a potential novel therapeutic target.</p>Conclusion<p>These time- and tissue-dependent changes in the dynamics and functional states of CD4⁺ and CD8⁺ T cells are essential steps in our understanding of the disease process in NOD mice and need to be considered for the interpretation and design of disease-modifying therapies.…”

Data_Sheet_1_Microbiota is structured by gut regions, life stage, and diet in the Black Soldier Fly (Hermetia illucens).docx by Laurence Auger (16841835)

“…Insights from this study are a stepping stone toward the microbiological optimization of black soldier flies for industrial rearing, highlighting how a synthetic microbiota assembly should be tailored to the rearing environment of the larvae at a targeted developmental stage.…”

DataSheet1_Seismicity-based 3D model of ruptured seismogenic faults in the North-South Seismic Belt, China.zip by Yilin Rong (14392044)

“…This method involves three steps. 1) An initial model of the fault geometry is constructed from the focal mechanism solution data. …”

Image_1_Footprint of pancreas infiltrating and circulating immune cells throughout type 1 diabetes development.jpeg by Ylke Bruggeman (9627928)

“…These cells were intermediates between naïve and effector memory cells as identified by single cell RNA sequencing and might be a potential novel therapeutic target.</p>Conclusion<p>These time- and tissue-dependent changes in the dynamics and functional states of CD4⁺ and CD8⁺ T cells are essential steps in our understanding of the disease process in NOD mice and need to be considered for the interpretation and design of disease-modifying therapies.…”

Image_2_Footprint of pancreas infiltrating and circulating immune cells throughout type 1 diabetes development.jpeg by Ylke Bruggeman (9627928)

“…These cells were intermediates between naïve and effector memory cells as identified by single cell RNA sequencing and might be a potential novel therapeutic target.</p>Conclusion<p>These time- and tissue-dependent changes in the dynamics and functional states of CD4⁺ and CD8⁺ T cells are essential steps in our understanding of the disease process in NOD mice and need to be considered for the interpretation and design of disease-modifying therapies.…”

Image_4_Footprint of pancreas infiltrating and circulating immune cells throughout type 1 diabetes development.jpeg by Ylke Bruggeman (9627928)

“…These cells were intermediates between naïve and effector memory cells as identified by single cell RNA sequencing and might be a potential novel therapeutic target.</p>Conclusion<p>These time- and tissue-dependent changes in the dynamics and functional states of CD4⁺ and CD8⁺ T cells are essential steps in our understanding of the disease process in NOD mice and need to be considered for the interpretation and design of disease-modifying therapies.…”

Diagram of the affinity maturation process. by Nileena Velappan (3155628)

“…<p><b>1)</b> Error-prone PCR introduces mutations in the original single chain antibody (scFv) gene. <b>2)</b> A library of ~ 1x10⁷ diversity is created by co-transforming the error-prone PCR amplicon and the linearized display vector in yeast. …”

Nonoptimal Component Placement, but Short Processing Paths, due to Long-Distance Projections in Neural Systems by Marcus Kaiser (63381)

“…These findings suggest that neural systems are not exclusively optimized for minimal global wiring, but for a variety of factors including the minimization of processing steps.…”