Deterministic sensitivity analysis. by Katharina Wahedi (7136459)

“…Bars on the right indicate an increase of ICER, bars on the left show a decrease of ICER. Changes resulting from increasing the parameters are represented by green bars while those resulting from a decrease of parameters are shown in red.…”

Recursive Feature Addition (RFA) process and Cross-Validations (CV) used in procedures 3 to 5. by Jessica Schrouff (168128)

“…N represents the number of blocks, n_min (respectively n_max,) represents the minimum (respectively maximum) number of selected features and Δn, the step size.</p>…”

Resveratrol Protects Chondrocytes from Apoptosis via Altering the Ultrastructural and Biomechanical Properties: An AFM Study by Hua Jin (320594)

“…CCK-8 assay showed that 100 μM RV significantly prevented SNP-induced cytotoxicity. …”

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). …”

Time series of simulated harvest rate, harvest, cumulative harvest, and example harvest control rules related to climate impacts on carrying capacity and productivity. by Jameal F. Samhouri (10136090)

“…The bottom panels show the harvest control rule when a climate impact causes carrying capacity and productivity to decrease (g) or increase (h), and harvest is managed using either a fixed or climate adaptive strategy (at two example time points, years 25 and 50). …”

Time series of simulated harvest rate, harvest, cumulative harvest, and example harvest control rules related to climate impacts on productivity. by Jameal F. Samhouri (10136090)

“…<p>Time series of simulated harvest rate (a, b), harvest (the product of population biomass and harvest rate; c, d), and cumulative harvest (the sum of harvest from <i>t</i>-1 to <i>t</i> at each time step; e, f) when a climate impact causes productivity, <i>r</i>, to decrease (a, c, e) or increase (b, d, f), and harvest is managed using either a fixed or climate adaptive strategy. …”

Time series of simulated harvest rate, harvest, cumulative harvest, and example harvest control rules related to climate impacts on carrying capacity. by Jameal F. Samhouri (10136090)

“…<p>Time series of simulated harvest rate (a, b), harvest (the product of population biomass and harvest rate; c, d), and cumulative harvest (the sum of harvest from <i>t</i>-1 to <i>t</i> at each time step; e, f) when a climate impact causes carrying capacity, <i>K</i>, to decrease (a, c, e) or increase (b, d, f), and harvest is managed using either a fixed or climate adaptive strategy. …”

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. …”

Possible state transitions in the evolutionary state-dependent model. by Tom Rosenström (115546)

“…The choice of mode dictates the transition-probability structure for the next time step. The effect of the ‘depressed’ mode is to decrease the probability of a divorce-like transition from the relationship-at-risk state to the unpartnered state by the value <i>s</i>, to increase the probability of death <i>m</i> by <i>z</i>, and to remove the probability of marrying <i>ρ</i> (removal of <i>ρ</i> had no consequences here, but to some, it seems a logical outcome of depression). …”

Table_1_Study on the additional financial burden of breast cancer disease on cancer patients and their families. Financial toxicity in cancer.XLSX by Eduardo J. Fernandez-Rodriguez (18963088)

“…However, after being diagnosed with breast cancer, there is a significant income decrease of 15.91%, resulting in a reduced average annual income of 16785.98 euros. …”

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. …”

CDA deficiency leads to excess dCTP, inhibiting PARP-1 activity and leading to UFB formation. by Simon Gemble (168663)

“…(G) (1) CDA deficiency leads to intracellular dCTP accumulation, decreasing basal PARP-1 activity. (2) The decrease in basal PARP-1 activity leads to an increase in unreplicated DNA sequences (preferentially at centromeres and CFS sites). (3) During late G2/early mitosis, some of this unreplicated DNA is probably processed by MUS81-EME1 and ERCC1 nucleases as previously suggested [<a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005384#pgen.1005384.ref036" target="_blank">36</a>, <a href="http://www.plosgenetics.org/article/info:doi/10.1371/journal.pgen.1005384#pgen.1005384.ref012" target="_blank">12</a>], leading to DNA synthesis during metaphase (EdU foci) and preventing supernumerary UFB formation. (4) Some of the excess unreplicated DNA sequences are not processed by the nucleases, leading to supernumerary UFB formation.…”

Data_Sheet_1_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.DOCX... by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_13_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_12_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xls by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_6_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_3_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_5_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”

Table_2_Transcriptome and Proteomics Analysis of Wheat Seedling Roots Reveals That Increasing NH4+/NO3– Ratio Induced Root Lignification and Reduced Nitrogen Utilization.xlsx by Dongqing Yang (675454)

“…However, the mechanisms underlying the response of wheat seedling roots to changes in NH₄⁺/NO₃^– ratio remain unclear. In this study, we investigated wheat growth, transcriptome, and proteome profiles of roots in response to increasing NH₄⁺/NO₃^– ratios (N_a: 100/0; N_r1: 75/25, N_r2: 50/50, N_r3: 25/75, and N_n: 0/100). …”