No Satisfaction? But We Try, and We Try, and We Try!
نویسندگان
چکیده
منابع مشابه
Careers. At least we should try.
LOOKING BACK over the years it is fairly obvious that there has been little or no career guidance in medicine. Apart from the odd chat with a senior often not much senior to the young graduate himself nothing was readily available to the newly qualified doctor about future prospects in the great variety of medical fields prospects, that is, of training needs facilities or vacancies. Yet little ...
متن کاملWriting for the AAPG Bulletin : We ’ re not literary giants , but we can try to be
John C. Lorenz is a Distinguished Member of Technical Staff at Sandia National Laboratories, where he has worked on sedimentary and natural-fracture reservoir characterization issues. His work has focused on the Rocky Mountain region but has extended to reservoirs in other parts of the world. Lorenz earned a Ph.D. from Princeton University and joined Sandia in 1981. Previously he was with the P...
متن کاملWhich symbol grounding problem should we try to solve?
Floridi and Taddeo propose a condition of “zero semantic commitment” for solutions to the grounding problem, and a solution to it. I argue briefly that their condition cannot be fulfilled, not even by their own solution. After a look at Luc Steel’s very different competing suggestion, I suggest that we need to re-think what the problem is and what role the ‘goals’ in a system play in formulatin...
متن کاملNoninvasive ventilation for acute lung injury: how often should we try, how often should we fail?
The selection of patients with acute lung injury/acute respiratory distress syndrome (ALI/ARDS) to receive noninvasive ventilation (NIV) is challenging, partly because there are few reliable selection criteria. The study by Rana and colleagues in the previous issue of Critical Care identifies metabolic acidosis and a lower oxygenation index as predictors of NIV failure, although it is unable to...
متن کامل.1 First Try 1.2 Second Try
Suppose we are given a graph G = (V,E). We would like to solve some cut problem (i.e. min-cut, s-t min cut, sparsest cut) and so on. The running time of algorithms for these problems typically depends on the number of edges in the graph, which might be as high as O(n). Is there any way to approximate our graph with a sparse graph G′ in which all cuts are approximately of the same size? We will ...
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: Serials Review
سال: 2017
ISSN: 0098-7913,1879-095X
DOI: 10.1080/00987913.2017.1368072