Self-Repair of Structure and Bioactivity in a Supramolecular Nanostructure by Charlotte H. Chen (5915282)

Self-Repair of Structure and Bioactivity in a Supramolecular Nanostructure by Charlotte H. Chen (5915282)

Table_2_Influence of Drying and Wildfire on Longitudinal Chemistry Patterns and Processes of Intermittent Streams.DOCX by Ruth B. MacNeille (9912051)

“…To capture spatial chemistry patterns, we sampled surface water for a suite of analytes along the length of each stream with a high spatial scope (50-m sampling along ~2,500 m). …”

Image_1_Substrate Stiffness Regulates Cholesterol Efflux in Smooth Muscle Cells.pdf by Xiuli Mao (7819301)

“…With the treatment of a liver X receptor (LXR) agonist GW3965, the expression of ABCA1 increased and cholesterol loading decreased, showing an additive effect with substrate stiffness. …”

Characterization of LNCaP cell growth cultured within biomimetic hydrogels in normal growth media, RPMI and 10% FBS. by Shirly Sieh (139080)

“…<p>(A) Growth curves of LNCaP cells over 7 days for 2D cultures (left) and 28 days for 3D cultures (right) in normal growth media measured by total DNA content (mean ± SE). …”

Selectivity of PRMT5 inhibition with C220. by Shelby L. Sloan (10803222)

“…For all cell lines, effects of PRMT5 inhibition with C220 treatment on biomarkers of PRMT5 activity shows a dose-dependent decrease in global marks of symmetric di-methylarginine (SDMA) and symmetric di-methylation of histone H4 arginine-3 (H4R3me2s) with a minimal effect to PRMT5 or global asymmetric di-methylarginine (ADMA). …”

Effect of cell shapes on cluster sizes. by Mrinmoy Mukherjee (5463848)

“…The corresponding time series of mean cluster size () of H cells for different values of <i>p</i>₀ at (C) <i>μ</i> = 40 and (D) <i>μ</i> = 50. We use standard deviations of the data as error bars.…”

Nuclease-Assisted Suppression of Human DNA Background in Sepsis by Yajing Song (606309)

“…Our experiments show that human DNA concentration can be reduced approximately 100,000-fold without affecting the <i>E. coli</i> DNA concentration in a model system with similarly sized amplicons. …”

HIV-1 envelope glycoprotein gp41 schematic and structure of the 2F5 antibody-peptide complex. by Javier Guenaga (150719)

“…Residues at the apex of the CDRH3 in magenta (_100ALFGV_100D) were not altered. …”

Table 1_Effects of different reduction patterns on stress distribution in patients with intertrochanteric fractures with intramedullary nail fixation: a finite element analysis.xls... by Jiajing Zhu (5117738)

PowerPoint Slides for: Vitamin K Metabolism in a Rat Model of Chronic Kidney Disease by McCabe K.M. (3346673)

Table 7_Aging restricts the initial neural patterning potential of developing neural stem and progenitor cells in the adult brain.xlsx by Saeideh Aran (20601371)

Prevalence of Sexual Dysfunctions and their Associated Factors in Pregnant Women in an Outpatient Prenatal Care Clinic by Julianna Azevedo Guendler (7453757)

“…Having higher education degree decreased the chance of being sexually dissatisfied by 50%. …”

DataSheet1_Evaluation of the Acute and Sub-Acute Oral Toxicity of Jaranol in Kunming Mice.docx by Tianlong Liu (1578268)

“…The jaranol (50, 100 and 200 mg/kg BW·d⁻¹) was given by gavage for 28 days daily in the sub-acute study. …”

Image_4_The noise is the signal: spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America.jpeg by Rob Klinger (2917100)

“…We evaluated spatio-temporal dynamics in production and productivity in meadows within the Sierra Nevada mountain range of North America by: (1) compiling Landsat satellite data for the Normalized Difference Vegetation Index (NDVI) across a 37-year period (1985–2021) for 8,095 meadows >2,500 m elevation; then, (2) used state-space models, changepoint analysis, geographically-weighted regression (GWR), and distance-decay analysis (DDA) to: (a) identify meadows with decreasing, increasing or no trends for NDVI; (b) detect meadows with abrupt changes (changepoints) in NDVI; and (c) evaluate variation along gradients of latitude, longitude, and elevation for eight indices of temporal dynamics in annual production (mean growing season NDVI; MGS) and productivity (rate of spring greenup; RSP). …”

Image_1_The noise is the signal: spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America.jpeg by Rob Klinger (2917100)

“…We evaluated spatio-temporal dynamics in production and productivity in meadows within the Sierra Nevada mountain range of North America by: (1) compiling Landsat satellite data for the Normalized Difference Vegetation Index (NDVI) across a 37-year period (1985–2021) for 8,095 meadows >2,500 m elevation; then, (2) used state-space models, changepoint analysis, geographically-weighted regression (GWR), and distance-decay analysis (DDA) to: (a) identify meadows with decreasing, increasing or no trends for NDVI; (b) detect meadows with abrupt changes (changepoints) in NDVI; and (c) evaluate variation along gradients of latitude, longitude, and elevation for eight indices of temporal dynamics in annual production (mean growing season NDVI; MGS) and productivity (rate of spring greenup; RSP). …”

Image_3_The noise is the signal: spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America.jpeg by Rob Klinger (2917100)

“…We evaluated spatio-temporal dynamics in production and productivity in meadows within the Sierra Nevada mountain range of North America by: (1) compiling Landsat satellite data for the Normalized Difference Vegetation Index (NDVI) across a 37-year period (1985–2021) for 8,095 meadows >2,500 m elevation; then, (2) used state-space models, changepoint analysis, geographically-weighted regression (GWR), and distance-decay analysis (DDA) to: (a) identify meadows with decreasing, increasing or no trends for NDVI; (b) detect meadows with abrupt changes (changepoints) in NDVI; and (c) evaluate variation along gradients of latitude, longitude, and elevation for eight indices of temporal dynamics in annual production (mean growing season NDVI; MGS) and productivity (rate of spring greenup; RSP). …”

Image_2_The noise is the signal: spatio-temporal variability of production and productivity in high elevation meadows in the Sierra Nevada mountain range of North America.jpeg by Rob Klinger (2917100)

“…We evaluated spatio-temporal dynamics in production and productivity in meadows within the Sierra Nevada mountain range of North America by: (1) compiling Landsat satellite data for the Normalized Difference Vegetation Index (NDVI) across a 37-year period (1985–2021) for 8,095 meadows >2,500 m elevation; then, (2) used state-space models, changepoint analysis, geographically-weighted regression (GWR), and distance-decay analysis (DDA) to: (a) identify meadows with decreasing, increasing or no trends for NDVI; (b) detect meadows with abrupt changes (changepoints) in NDVI; and (c) evaluate variation along gradients of latitude, longitude, and elevation for eight indices of temporal dynamics in annual production (mean growing season NDVI; MGS) and productivity (rate of spring greenup; RSP). …”

Temporal changes in prey composition and biomass delivery to African Crowned Eagle nestlings in urban areas of KwaZulu-Natal, South Africa by Tim van der Meer (5726774)

Reduction of plasma membrane PtdIns(4)<i>P</i> and PtdIns(4,5)<i>P</i>₂ levels and their effect on the Ins<i>P</i>₃ and Ca²⁺ signals upon hormonal... by Gergő Gulyás (733813)

“…(E and F) HEK 293T cells were transiently transfected with AT1R-Δ319 together with the indicated BRET sensors. A 10-minute preincubation with 10 μM wortmannin or 10 nM A1 was used to decrease the PtdIns(4)<i>P</i> level of the PM. …”