Development of a Mild and Robust Method for Large-Scale Palladium-Catalysed Cyanation of Aryl Bromides: Importance of the Order of Addition

2008 ◽  
Vol 12 (3) ◽  
pp. 540-543 ◽  
Author(s):  
Per Ryberg
Keyword(s):  
Large Scale ◽  
Robust Method ◽  
Aryl Bromides

scholarly journals Ni/Photoredox Dual Catalysis Sulfone Compounds Synthesised with Carbon Nitride as the Semiheterogeneous Photocatalyst

2021 ◽  
Author(s):  
Yang Liu ◽  
Joost Berkhong
Keyword(s):  
Large Scale ◽  
Carbon Nitride ◽  
Bond Formation ◽  
Reaction System ◽  
Nickel Catalysts ◽  
Practical Application ◽  
Mild Conditions ◽  
Aryl Bromides ◽  
Application Potential ◽  
Electron Donating Groups

An easily available heterogeneous semiconductor material, g-CN, proved to be feasible when combined with homogeneous nickel catalysts for light-mediated C(sp2)-SO2Ar bond formation of aryl bromides with aryl sulfinates under mild conditions and base-free, unlocking a variety of cross-couplings. The metal-free heterogeneous semiconductor is totally recyclable from reaction system, and experimental results demonstrated a series of differently substituted substrates including electron donating groups and electron withdrawing groups can be tolerated with a satisfactory result. The method could even pro-duce the classic drug Dapsone in large scale, showing strong practical application potential.

scholarly journals A Robust Method for Finding the Automated Best Matched Genes Based on Grouping Similar Fragments of Large-Scale References for Genome Assembly

Symmetry ◽  
2017 ◽  
Vol 9 (9) ◽  
pp. 192 ◽  
Author(s):  
Jaehee Jung ◽  
Jong Kim ◽  
Young-Sik Jeong ◽  
Gangman Yi
Keyword(s):  
Genome Assembly ◽  
Large Scale ◽  
Robust Method

Facile large-scale synthesis of brain-like mesoporous silica nanocomposites via a selective etching process

Nanoscale ◽  
2015 ◽  
Vol 7 (39) ◽  
pp. 16442-16450 ◽  
Author(s):  
Yu Chen ◽  
Qihua Wang ◽  
Tingmei Wang
Keyword(s):  
Mesoporous Silica ◽  
Large Scale ◽  
Selective Etching ◽  
Etching Process ◽  
Robust Method ◽  
Silica Nanocomposites ◽  
Large Scale Synthesis

A facile and robust method for large-scale synthesis of brain-like structured Au@SiO2 nanocomposites.

scholarly journals AdaTiSS: A Novel Data-Adaptive Robust Method for Quantifying Tissue Specificity Scores

2019 ◽  
Author(s):  
Meng Wang ◽  
Lihua Jiang ◽  
Michael P. Snyder
Keyword(s):  
Large Scale ◽  
Tissue Specificity ◽  
Population Distribution ◽  
Specific Gene ◽  
Robust Method ◽  
Gene Expressions ◽  
Regression Problem ◽  
Tissue Specific ◽  
Tissue Specific Gene ◽  
Data Adaptive

AbstractMotivationAccurately detecting tissue specificity (TS) in genes helps researchers understand tissue functions at the molecular level, and further identify disease mechanisms and discover tissue-specific therapeutic targets. The Genotype-Tissue Expression (GTEx) project (Consortium, 2015), and the Human Protein Atlas (HPA) project (Uhlén, et al., 2015) are two publicly available data resources, providing large-scale gene expressions across multiple tissue types. Multiple tissue comparisons, technical background noise and unknown variation factors make it challenging to accurately identify tissue specific gene expressions. Several methods worked on measuring the overall TS in gene expressions and classifying genes into tissue-enrichment categories. There still lacks a robust method to provide quantitative TS scores for each tissue.MethodsWe recognized that the key to quantify tissue specific gene expressions is to properly define a concept of expression population. We considered that inside the population, the sample expressions from various tissues are more or less balanced, and the outlier expressions outside the population may indicate tissue specificity. We then formulated the question to robustly estimate the population distribution. In a linear regression problem, we developed a novel data-adaptive robust estimation based on density-power-weight under unknown outlier distribution and non-vanishing outlier proportion (Wang, et al., 2019). In the question of quantifying TS, we focused on the Gaussian-population mixture model. We took into account gene heterogeneities and applied the robust data-adaptive procedure to estimate the population. With the robustly estimated population parameters, we constructed the AdaTiSS algorithm to obtain data-adaptive quantitative TS scores.ResultsOur TS scores from the AdaTiSS algorithm achieve the goal that the TS scores are comparable across tissues and also across genes, which standardize gene expressions in terms of TS. Compared to the categorical TS method such as the HPA criterion, our method provides more information on the population fitting, and shows advantages in quantitatively analyzing tissue specific functions, making the biology functional analysis more precise. We also discuss some limitations and possible future [email protected]

scholarly journals A Robust Method for Large-Scale Multiple Hypotheses Testing

2010 ◽  
pp. NA-NA
Author(s):  
Seungbong Han ◽  
Adin-Cristian Andrei ◽  
Kam-Wah Tsui
Keyword(s):  
Large Scale ◽  
Hypotheses Testing ◽  
Robust Method ◽  
Multiple Hypotheses ◽  
Multiple Hypotheses Testing

scholarly journals Wafer-scale fabrication of high-quality tunable gold nanogap arrays for surface-enhanced Raman scattering

Nanoscale ◽  
2019 ◽  
Vol 11 (25) ◽  
pp. 12152-12160 ◽  
Author(s):  
Hai Le-The ◽  
Jasper J. A. Lozeman ◽  
Marta Lafuente ◽  
Pablo Muñoz ◽  
Johan G. Bomer ◽  
...  
Keyword(s):  
Raman Scattering ◽  
Large Scale ◽  
Low Cost ◽  
Surface Enhanced Raman Scattering ◽  
Robust Method ◽  
High Quality ◽  
Wafer Scale ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Enhanced Raman Scattering

A robust method is developed for large-scale fabrication of high-quality tunable gold nanogap arrays at low-cost for surface-enhanced Raman scattering.

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