Discovery of the Triazolo[1,5‑<i>a</i>]Pyrimidine-Based Derivative WS-898 as a Highly Efficacious and Orally Bioavailable ABCB1 Inhibitor Capable of Overcoming Multidrug Resistance... by Shuai Wang (109515)

Subjects:

Pre-match open aortic group. by Tomi Obafemi (12328433)

“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”

Summary of the main results (very likely and most likely effects) for each playing position and player type from year -1 to year 0 and from year 0 to year 1 (the arrows indicate th... by Miguel-Ángel Gómez (5537345)

Fig 6 - by Felix Bosch (10024550)

Propensity-score matched open aortic group. by Tomi Obafemi (12328433)

“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”

Pre-match CABG/Valve group. by Tomi Obafemi (12328433)

“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”

Propensity-score matched CABG/Valve group. by Tomi Obafemi (12328433)

“…<div><p>Introduction</p><p>Adequate peri-operative care is essential to ensuring a satisfactory outcome in cardiac surgery. In this study, we look at the impact of evidence-based protocols implemented at Stanford Hospital.…”

Fig 5 - by Felix Bosch (10024550)

Paeameter ranges and optimal values. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Improved random forest algorithm. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Datasets used in the study area. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Evaluation of the improved random forest model. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Comparison of model metrics. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Flowchart of population spatialization. by Zhen Zhao (159931)

“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”

Robust Operation of Mesoporous Antireflective Coatings under Variable Ambient Conditions by Barry Reid (1559488)

“…In this work, we examine the effect of relative humidity on mesoporous ARCs and present a simple method for the preparation of ARCs with robust operation under variable conditions. …”

Pharmacological inhibition and/or siRNA silencing of EP2 receptor in EP2S cells decrease claudin-4 expression. by Manigandan Lejeune (458492)

Effect of cilostazol on liver TNF-α (A), IL-6 (B), NFκβ (C) and TGFβ (D) in TAA-induced fibrosis in rats. by Sally A. El Awdan (710176)

Mean CBD concentration (%) for duration of vegetative phase (DVP) and inflorescence fraction. by Torsten Schober (20485754)

Mental health group common bigram words (Top 50) before and after pandemic. by Yuxuan Cai (19226202)

50 WT 5′ and 3′ terminal nts of the S1 gene are sufficient to package a non-MRV gene into infectious virions. by Debarpan Dhar (724473)