Commentary: Chase Perfection to Catch Excellence
نویسندگان
چکیده
منابع مشابه
’Excellence in research on schools’ - a commentary
The DfEE in early 1998 commissioned the Institute for Employment Studies at the University of Sussex to undertake a review of educational research relating to schools in England (Hillage et al., 1998). This report, published in August 1998 was based upon a literature review of research activities, 40 interviews with ’stakeholders’ a mixture of researchers, people from research funding bodies, n...
متن کاملMetabolomics cuts to the chase to chase the cuts.
type II diabetes5. However, like most proteases, a complete picture of the targets of DPP4 is lacking, which makes it difficult to anticipate metabolic function has prompted the development of a number of small-molecule inhibitors of DPP4, including sitagliptin (Januvia), which was recently approved by the US Food Proteases are enzymes that perform the basic task of cutting up other proteins an...
متن کاملCommentary: The agenda for academic excellence in "global" surgery.
WE HAVE REACHED A CRITICAL JUNCTURE in academic surgery. Largely ignored for decades, the magnitude and impact of the global burden of surgical disease, which makes up 11% of disability-adjusted life years worldwide, is drawing increasing attention; scores of young and aspiring surgeons are now truly interested in global health work. While previous literature has examined the barriers to access...
متن کاملOptimizing imperfect cloaks to perfection.
Transformation optics has been an essential tool for designing cloaking devices for electromagnetic and acoustic waves. All these designs have one requirement in common: material singularity. At the interface between the cloak and the cloaked region, some material properties have to approach infinity, while some others approach zero. This paper attempts to answer a central question in physicall...
متن کاملSupplement to pursuit tracks chase
We use a support vector machine (SVM) to obtain a classifier that best discriminates ES and CS1. SVM requires a similarity matrix S as input. This matrix describes the pair-wise distance between all samples. In our case, the samples are the ES and CS1 targets xn. We compute similarity euclidean distance between two samples S(xm,xn) = ∑ f ∑i ∑ j(xm( f , i, j)− xn( f , i, j))2 where x( f , i, j) ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Journal of Thoracic and Cardiovascular Surgery
سال: 2021
ISSN: 0022-5223
DOI: 10.1016/j.jtcvs.2021.06.045