Low-retention Pre-columns: A Straightforward Approach to Enable Larger Injection Volumes and Reduce Extra-column Effects in HPLC

2017 ◽  
Vol 4 (2) ◽  
Author(s):  
Ali Hajdaei ◽  
Mark Stone ◽  
Ela Miller ◽  
Peter Arthur
2020 ◽  
Vol 2020 (10) ◽  
pp. 28-1-28-7 ◽  
Author(s):  
Kazuki Endo ◽  
Masayuki Tanaka ◽  
Masatoshi Okutomi

Classification of degraded images is very important in practice because images are usually degraded by compression, noise, blurring, etc. Nevertheless, most of the research in image classification only focuses on clean images without any degradation. Some papers have already proposed deep convolutional neural networks composed of an image restoration network and a classification network to classify degraded images. This paper proposes an alternative approach in which we use a degraded image and an additional degradation parameter for classification. The proposed classification network has two inputs which are the degraded image and the degradation parameter. The estimation network of degradation parameters is also incorporated if degradation parameters of degraded images are unknown. The experimental results showed that the proposed method outperforms a straightforward approach where the classification network is trained with degraded images only.


2019 ◽  
Author(s):  
Bünyamin Erkan ◽  
Damien Pouponneau

1996 ◽  
Vol 61 (6) ◽  
pp. 844-855 ◽  
Author(s):  
Olga Šolcová ◽  
Petr Schneider

It was shown that the sampling loop, detector and connecting elements in the chromatographic set-up for determination of transport parameters by the dynamic method significantly influence the response peaks from columns packed with porous or nonporous particles. A method, based on the use of convolution theorem, was developed which can take these effects into account. The applicability of this method was demonstrated on the case of axial dispersion in a single-pellet-string column (SPSR) packed with nonporous particles. It is possible to handle also responses from columns packed with porous particles by a similar procedure.


Author(s):  
Graham Brack ◽  
Penny Franklin ◽  
Jill Caldwell

Medicines Management for Nursing Practice: Pharmacology, Patient Safety, and Procedures is a friendly guide designed to equip pre-registration and newly qualified nurses with the medicines management knowledge and skills to provide safe patient-centred care. Balancing theory with practical advice, this accessible text covers basic pharmacology, drug calculations, key legislation and standards, and patient safety. Drawing from the most up-to-date sources of evidence and advice, including NMC and BNF guidelines, Medicines Management for Nursing Practice prepares nurses to promote their patients' safety, concordance, understanding of medicines, and wellbeing. This book takes a lively and straightforward approach to a vital set of nursing skills. Learning features such as reflection points, exercises, and further reading help readers to develop and consolidate their knowledge. Chapters on pharmacology and drug calculations take a step-by-step approach and are supported by diagrams and examples to aid understanding. Case studies relate guidelines and theories to the common practical scenarios that nurses encounter on a day-to-day basis.


Author(s):  
Naji Vahedigharehchopogh ◽  
Orhan Kıbrıslı ◽  
Erdinc Erol ◽  
Miray Çelikbilek Ersundu ◽  
Ali Erçin Ersundu

Increment of forgery in documents and authentic products have aroused the search for new high-end anti-counterfeiting strategies. Various chameleon-like luminescent materials such as up-conversion nano particles or perovskite nanocrystals have...


2020 ◽  
Vol 85 (15) ◽  
pp. 9538-9547
Author(s):  
Xing Li ◽  
Tao Feng ◽  
Dongjun Li ◽  
Honghong Chang ◽  
Wenchao Gao ◽  
...  

2015 ◽  
Vol 22 (4) ◽  
pp. 1223-1227 ◽  
Author(s):  
Olga A. Ivanova ◽  
Ekaterina M. Budynina ◽  
Victor N. Khrustalev ◽  
Dmitriy A. Skvortsov ◽  
Igor V. Trushkov ◽  
...  

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