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Institution

FH Aachen

EducationAachen, Germany
About: FH Aachen is a education organization based out in Aachen, Germany. It is known for research contribution in the topics: Biosensor & Humanities. The organization has 406 authors who have published 495 publications receiving 6010 citations. The organization is also known as: Aachen University of Applied Sciences.


Papers
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Journal ArticleDOI
TL;DR: In this paper, various heat transfer enhancement methods for latent heat thermal storage (LHTS) systems are discussed and three different experiments to augment heat transfer were conducted and the findings are reported.

483 citations

Book ChapterDOI
01 Jan 1993
TL;DR: In den folgenden Abschnitten wird die industrielle Herstellung wichtiger organischer Grundchemikalien beschrieben, aus denen man bedeutende Zwischen-and End-produkte synthetisiert, wie Tenside, Pharmaka, Farbstoffe, Kunststoff, etc..
Abstract: In diesem und in den folgenden Abschnitten wird die industrielle Herstellung wichtiger organischer Grundchemikalien beschrieben, aus denen man bedeutende Zwischen- und Endprodukte synthetisiert, wie Tenside, Pharmaka, Farbstoffe, Kunststoffe.

291 citations

Journal ArticleDOI
TL;DR: In this article, a cylindrical vertical tube with internal longitudinal fin arrangement and phase change material (PCM) is used to enhance heat transfer in a thermal storage system, where the fin arrangement gives maximum benefit to fin arrangement.

229 citations

Book
03 Oct 2014
TL;DR: This book contains practical, computer-ready algorithms for many standard methods of numerical mathematics and describes the principles of the various methods and provides support in choosing the appropriate method for a given task.
Abstract: More scientists now use C than any other programming language. This book contains practical, computer-ready algorithms for many standard methods of numerical mathematics. It describes the principles of the various methods and provides support in choosing the appropriate method for a given task. Topics given special emphasis include converging methods for solving nonlinear equations, methods for solving systems of linear equations for many special matrix structures, and the Shepard method for multidimensional interpolation. The CD contains C-programs for almost all the algorithms given in the book and a compiler, together with software for graphical printing.

165 citations

Journal ArticleDOI
TL;DR: The presented paper re- views recent advances and current trends in research and development of different FEDs for label-free, direct and real-time detection of charged biomolecules by their intrinsic molecular charge.
Abstract: Among the variety of transducer concepts pro- posed for label-free detection of biomolecules, the semi- conductor field-effect device (FED) is one of the most at- tractive platforms. As medical techniques continue to progress towards diagnostic and therapies based on bio- markers, the ability of FEDs for a label-free, fast and real-time detection of multiple pathogenic and physiologi- cally relevant molecules with high specificity and sensitiv- ity offers very promising prospects for their application in point-of-care and personalized medicine for an early diag- nosis and treatment of diseases. The presented paper re- views recent advances and current trends in research and development of different FEDs for label-free, direct elec- trical detection of charged biomolecules by their intrinsic molecular charge. The authors are mainly focusing on the detection of the DNA hybridization event, antibody-anti- gen affinity reaction as well as clinically relevant biomole- cules such as cardiac and cancer biomarkers.

119 citations


Authors

Showing all 486 results

NameH-indexPapersCitations
Michael J. Schöning5146410291
Arshak Poghossian391704632
Frank Hartung28775676
A. Förster271351959
Walter Dr. Hillen27912476
Thorsten Selmer26622851
Bernd Dachwald251071837
Karl Ziemons24794040
Petra Siegert23881794
Gerhard M. Artmann23731311
Bernhard Hoffschmidt221001863
Chunsheng Wu221011732
Alexander Ferrein201071198
Manfred Staat18103997
Ilya Digel1753735
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
202246
202124
202019
201920
201829