Simulation of the average densities/concentrations of the variables for model (2)–(21) with/without ENZ (ADT) at <i>γ</i>_<i>E</i> = 10⁻⁷ g/cm³⋅d.... by Nourridine Siewe (5081834)

Loss of <i>Meis1</i> results in changes to the PB and BM composition of <i>ERTCre/Meis1</i> and <i>MxCre/Meis1</i> mice. by Michelle Erin Miller (3177435)

Predicting inadequate postoperative pain management in depressed patients: A machine learning approach by Arjun Parthipan (6307895)

“…The primary outcome was the difference between preoperative pain score and postoperative pain at discharge, 3-week and 8-week time points. We developed computational models to predict the increase or decrease in the postoperative pain across the 3 time points by using the patient’s EHR data (e.g. medications, vitals, demographics) captured before surgery. …”

Computational strategy for assessing the efficacy of established secondary structure propensity scales in predicting secondary structure tendencies among LCDs and non-LCD regions. by Sean M. Cascarina (8363391)

Fisetin enhances glucose homeostasis in HFD-fed mice. by Mahboobe Sattari (20622143)

Supplementary Material for: Hyperfunctioning Papillary Thyroid Carcinoma with a <b><i>BRAF</i></b> Mutation: The First Case Report and a Literature Review by Shinkai S. (10260734)

“…Subsequent mutational analysis of <i>BRAF</i> (exon 15), <i>TSHR</i> (exons 1–10), <i>GNAS</i> (exons 7–10), <i>EZH1</i> (exon 16), <i>KRAS</i>, <i>NRAS</i>, <i>HRAS</i> (codons 12, 13, and 61), and <i>TERT</i> promoter (C250T and C228T) identified a heterozygous point mutation in <i>BRAF</i> V600E in a tumor tissue sample. …”

RNLS distribution in human precursor and PDAC tissue. by Yasheen Gao (6090842)

Protection from R5- and X4- tropic HIV-1-mediated CD4⁺ T-cell loss in hu-BLT mice by Dual sh1005/sh516. by Gene-Errol E. Ringpis (106558)

“…Error bars: mean + SEM in n = 5 and n = 4 for HIV-1_NFNSX- and HIV-1_NL4-3- infected mice, respectively. …”

Trends of uptake of delivery by CS and trends of the uptake of maternity incentives among women who had at least a live birth and gave birth in HFs one year prior to the three most... by Resham B. Khatri (10949429)

Proliferation measurements in transverse and coronal VF planes. by Kate Griffin (9981836)

“…Sequential comparison of coronal plane proliferation time points reported significant changes between E13.5-E15.5. …”

Data_Sheet_5_Assessment of pharmacologically induced changes in canine kidney function by multiparametric magnetic resonance imaging and contrast enhanced ultrasound.xlsx by Amber Hillaert (10156665)

Peptic fragments derived from α₁AT that display enhanced deuterium incorporation in M α₁AT. by Victoria A. Hughes (435584)

Effect of Trk receptor inhibitor on <i>in vivo</i> tumor growth of MES-SA/Dx5 xenografts in athymic nude mice. by Kenichi Makino (149077)

“…Tumor volume on the first day of treatment was expressed as a relative tumor volume of 1. <i>Points</i>, mean; <i>bars</i>, SE. *, <i>P</i><0.05 vs. control. …”

Table_5_Identifying Temporally Regulated Root Nodulation Biomarkers Using Time Series Gene Co-Expression Network Analysis.xlsx by William L. Poehlman (7598351)

“…We performed RNA sequencing of 30 Medicago truncatula root maturation zone samples at five distinct time points. These samples included plants inoculated with Sinorhizobium medicae and control plants that did not receive any Rhizobium. …”

The order of C10-AMS addition affects its inhibitory efficacy on AasS activity. by Haomin Huang (6042116)

“…<p><b>A.</b> Cartoon model of two opposite conformational states for AasS catalysis. …”

Image_5_The Association Between Dietary Antioxidant Micronutrients and Cardiovascular Disease in Adults in the United States: A Cross-Sectional Study.JPG by Ting Yin (76408)

“…</p><p>Results: Multivariate logistic models showed that, compared with the lowest quartile, the levels of 11 antioxidants in the highest quartile were independently associated with decreased total CVD (all P < 0.05). The WQS index showed that, when considered together, the 11 micronutrients were negatively correlated with total CVD (P < 0.001) and five specific CVDs (all P < 0.05), and selenium had the strongest association (weight = 0.219) with total CVD. …”

Table_3_Unraveling the genetic evolution of SARS-CoV-2 Recombinants using mutational dynamics across the different lineages.XLSX by Varsha Ravi (12267659)

“…The sequences were classified according to the different lineages of SARS-CoV-2 prevailing in India at respective time points.…”

Table_7_Unraveling the genetic evolution of SARS-CoV-2 Recombinants using mutational dynamics across the different lineages.XLSX by Varsha Ravi (12267659)

“…The sequences were classified according to the different lineages of SARS-CoV-2 prevailing in India at respective time points.…”

Table_2_Unraveling the genetic evolution of SARS-CoV-2 Recombinants using mutational dynamics across the different lineages.XLSX by Varsha Ravi (12267659)

“…The sequences were classified according to the different lineages of SARS-CoV-2 prevailing in India at respective time points.…”

Table_1_Unraveling the genetic evolution of SARS-CoV-2 Recombinants using mutational dynamics across the different lineages.XLSX by Varsha Ravi (12267659)

“…The sequences were classified according to the different lineages of SARS-CoV-2 prevailing in India at respective time points.…”