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Part of the range for the over 50s, 12 Nov. 2015
Customer review from the Amazon Vine Programme (What's this?)
L'Oreal has different ranges for different age groups and this is the Age Perfect range for the over 50s. L'Oreal days creams have always been a great product. I don't know how you can tell a difference between the products for different ages or what the differences in ingredients are but it seems to do the trick









0 of 1 people found the following review helpful
5.0 out of 5 stars
A delight to read, even Bart would like maths if it was taught like this., 12 Nov. 2015
Singh is an excellent science writer in fact I would rate him probably the best I have read. He makes the subject accessible and interesting without being condescending to the reader or going over the reader's head. I teach maths to reluctant maths students and so I am always looking for ways that I might hook them and show how maths can relate to them. So this is a great book for showing how a very high level of maths can be embedded in a popular cartoon series. The examples from Futurama are even more impressive (and perhaps Futurama should have a mention in the title  but it would be too long then).









3.0 out of 5 stars
Not really about design, this is more about simulation and modelling., 12 Nov. 2015
Customer review from the Amazon Vine Programme (What's this?)
This is very theory and simulation heavy and it would also suit someone from a molecular modelling and dynamics background. I expected much more focus on the specifics of biomaterials but the modelling here is very general and could be applied to other fields. This includes molecular dynamics, QMMM approaches and DFT. All these techniques you are as likely to find in physics and general materials laboratories. I would also quibble about if you are designing at all. For me the major discoveries have come through experimental try it and see approaches as our understanding of novel materials at the molecular level is still very poor.









5.0 out of 5 stars
The bootstrap bible., 8 Nov. 2015
This is the bootstrap bible because it was written by the inventor of the bootstrap himself. The book is really in two parts. The first 19 chapters discuss the bootstrap and its background and application. The final chapters are on more advanced issues and these are less well thought out than the first chapters. Here the explanations are much less clear and there is a feeling that the finally chapters are more hurried and have less attention from both the authors and the editors.
If you need to know about how the bootstrap works and how to apply it to your specific set of data then you should read this book first. It is written in a rigorous mathematical way (so there are some scary looking equations) but when you break them down into their components you are not going to a higher level than elementary statistics and a little bit of linear algebra (that is until the final chapters). There is no need for advanced calculus and the concepts are all explained in accessible detail (you do need to read it from cover to cover it is not a book you can dip into unless you are familiar with the notation). This book has convinced me of both the simplicity and usefulness of bootstrap methods for determining standard errors and confidence intervals of difficult derived statistics, rather than trying to take an analytical approach. It is a very powerful technique that does not need a deep level of theory. I would recommend it to anyone interested in applied statistics, even to the Bayesians who will find this frequentist tool useful.









5.0 out of 5 stars
Something so different, magical, unexpected., 3 Nov. 2015
Customer review from the Amazon Vine Programme (What's this?)
I am always a bit skeptical about novels that try to combine the real world with fantasy as it is much easier to be consistent in a totally invented world. But this is an amazing story that carries of the mix of historical and magical fiction. Here the author replaces the first world war with a magical war that sees the destruction of the Magical Houses in Paris. all of this is related to the fallen angels of which of course Lucifer  Morningstar was the first. He lead House Silverspires which is based on Ile de Paris with Notre Dame and the ancient castles and palaces. It does help to know some geography of Paris and history of mysticism to help to construct the background and understand where the people are. There are also plenty of mysteries and the characters are always an enigma especially the two central characters. All together it is a beautiful story and something completely unexpected.
I assume that this will be the first in a series as this is a world so well crafted we need more installments.









5.0 out of 5 stars
Not just for engineers, for any professional thinking about their future., 2 Nov. 2015
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While this is written with Engineers in mind and there is some engineering specific content this is a book of useful advice for any graduate and in fact any Professional. Each chapter represents an important aspect of your career. Starting with your cv, then the interview which are generic skills. Then it covers subjects less often dealt with, career goals, accreditation (engineering specific), mentors (under appreciated by most people), communication, networking (an essential skill in today's work place), focus and productivity, leading and being active. The last few chapters gives examples of these processes and these are more engineering centric compared to the wider applicability of the other chapters. I think that this is a short and well focused book that will be useful to a wider audience because it covers some neglected skills. Highly recommended.









1 of 1 people found the following review helpful
5.0 out of 5 stars
A must buy for healthcare researchers, 28 Oct. 2015
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This is an extensive and comprehensive guide to research in nursing but it would also be invaluable to other health care professionals and those interested in evidence based medicine. The book covers all of the major questions in patient research design. These include the differences between taking a quantitative and qualitative approach as well as case studies against trials. There are lots of interesting techniques which are set out in a well structured manner. This is an amazing and invaluable resource for anyone in the field.









3.0 out of 5 stars
A read and return, not a keeper., 25 Oct. 2015
Customer review from the Amazon Vine Programme (What's this?)
This story fails to excite even though it is based on the reallife affair between Bergman and Robert Capa in Paris. These were definitely an odd couple affected by tragedy and also by their strong personalities. There is actually going to be a film made based upon it. But for me it is a shrug of the shoulders sort of book. It is neither especially good nor especially bad. It is a bit too slow to be captivating but it is interesting enough that you want to finish it. So perhaps a good holiday read but not a keeper.









3.0 out of 5 stars
Too much chemistry and not enough personality., 24 Oct. 2015
Customer review from the Amazon Vine Programme (What's this?)
I am not a big fan of biographies and so I have to report a bias in my review. This was a biography of a Nobel Prize winning chemist and so I thought it would be an interesting background reading to put chemistry into a more personal context. The problem is that the Chemistry dominates over the personal. It is not like Feynman and his anecdotes where the biography entertains, or like Genius another Feynman biography. There is not enough focus on the personal and so like Pais biography of Einstein it is going to remain half read. But if you like something more technical then this will introduce you to Olah's work.






MetaAnalysis

by Mike W.L. Cheung Edition: Hardcover 
Price: £37.39 



1 of 1 people found the following review helpful
4.0 out of 5 stars
Big on theory but ultimately not convincing to me., 19 Oct. 2015
Customer review from the Amazon Vine Programme (What's this?)
Metaanalysis is playing an important role in science and in particular in medicine where the Cochrane Collaboration is helping to embed evidence approaches (yes you would hope Medicine was always evidence based). What I am less familiar with is the structural equation modelling (SEM) approach. This book aims to introduce the reader using extensive examples in R. Using R is a strong point and definitely a positive for the book. My problem is whether SEM adds anything to existing methods.
A metaanalysis is going to be flawed from the start no matter how well you carry it out if you cherry pick the studies you include in the analysis or if you do not account for publication bias. This is where the analysis can fall down and bias is not something the SEM approach can deal with. It is not even an Index entry. So why do we use equations? We use them to simplify and generalise and to produce an algorithm or standard operating procedure for carrying out an analysis. Does SEM help to improve our metaanalysis? The books introduces a high level of theory to look at effects, residuals, separating random effects dealing with multiple variables, weighting and all of the usual problems that you encounter. The book shows the latest views on the theory and gives examples of practice. My problem is that for complex problems I think this is overkill as really each analysis is unique and I am unconvinced that SEM is going to be more productive as a model.
If you are a statistics graduate student and you want to look into the alternatives for metaanalysis then this is a book to consider and a pathway you could follow. For anyone else at the coal face of actually carrying out metaanalysis I think you need to wait for another book.

