E₅₀ values of size. by Junxia Zhou (14381598)

E₅₀ fluctuation coefficient. by Junxia Zhou (14381598)

Fitting relationship of E₅₀. by Junxia Zhou (14381598)

Fitting curve of E₅₀. by Junxia Zhou (14381598)

Presence of <i>Klf4</i> promoter elements decreases the effects of enhancer E2 in reporter assays. by Jack B. Waite (19762178)

Nicotine decreased Akt phosphorylation in SK-BR-3 cells. by Masanori A. Murayama (5774585)

Dimerization of [Fe^III(bpy)₃]³⁺ in Aqueous Solutions: Elucidating a Mechanism Based on Historical Proposals, Electrochemical Data, and Computationa... by Nicolas E. Holubowitch (9254254)

Subjects:

Adaptation of SARS-CoV-2_Engl2 to VeroE6 and selection of decreased RDV sensitivity. by Agnieszka M. Szemiel (10196243)

Subjects:

Fitting curve of rock E₅₀. by Junxia Zhou (14381598)

Variants enriched in an <i>Ae</i>. <i>aegypti</i> cell line <i>(</i>Aag2) have increased fitness in Aag2 cells but decreased fitness in a human cell line (MRC-5). by Chelsea Cereghino (15188341)

Cellular co-infection decreases the potential for superinfection. by Brigitte E. Martin (8366847)

Tax expression is associated with decreased cellular motility. by Saumya Ramanayake (7879091)

Identification of metabolites with cell type-specific-dynamics reveals the amino acid class as highly conserved in hiPSC and hNSC and that most of the cell type-specific amino acid... by João Vasconcelos e Sá (8721594)

Decrease in the operational range of the enzymatic controller of Fig 51 (in dual-E control mode) as a function to decreased values of the forward enzymatic rate constants <i>k</i><... by Qaiser Waheed (5095328)

Forbush Decrease Catalog at MESSENGER by Emma Davies (12046748)

“…<p>For each Forbush decrease (Fd) identified, we list the associated ICME boundary times i.e. the ICME start, magnetic ejecta (ME) start, and the ICME end times in ISO standard. …”

Step-wise evolution of drug resistance via CNV and LOH. by Pétra Vande Zande (17628246)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

CCR2 depletion decreases lipid accumulation in the liver and WAT. by Seung Joo Lee (1766020)

“…<p>(a) To analyze lipid accumulation in tissues, H&E staining was performed. …”

The S75A mutation of LeishIF4E3 leads to a decrease in granule formation in response to PBS starvation and to a reduced interaction with LeishIF4G-4. by Rohit Shrivastava (6459608)