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Institution

Agilent Technologies

CompanySanta Clara, California, United States
About: Agilent Technologies is a company organization based out in Santa Clara, California, United States. It is known for research contribution in the topics: Signal & Mass spectrometry. The organization has 7398 authors who have published 11518 publications receiving 262410 citations. The organization is also known as: Agilent Technologies, Inc..


Papers
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Journal ArticleDOI
TL;DR: High-performance mass spectrometry and separation methods were used to evaluate changes of bovine milk oligosaccharides (bMO) in different lactation stages, finding that the total concentrations dropped rapidly in the first several days of lactation.

175 citations

Patent
14 Feb 2000
TL;DR: In this article, a handheld digital camera can send to the photo service provider one or more digital images with address information indicating destinations for the digital images or photographic prints, and additional images or instructions associated with the delivery addresses can indicate the size or quantity of the prints to be delivered.
Abstract: A photo service provider provides remote developing, printing, and delivery of photographic prints of digital images. In one embodiment, a handheld digital camera can send to the photo service provider one or more digital images with address information (e.g., one or more address image created in the camera) indicating destinations for the digital images or photographic prints. One or more additional images or instructions associated with the delivery addresses can indicate the size or quantity of the prints to be delivered. The camera can be coupled to a data communication network through which the camera directly sends the selected images to the photo service provider. At a server of the service provider, one or more photographic prints of the selected images are automatically printed, packaged, and sent to the delivery addresses.

174 citations

Journal ArticleDOI
TL;DR: In this article, the authors examine three stable approximate model-inverse feedforward control techniques, the non-minimum-phase zeros ignore (NPZ-Ignore), the zero-phase error tracking controller (ZPETC), and the zeromagnitude-error tracking controller(ZMETC), which have frequently been used for NMP systems.

174 citations

Journal ArticleDOI
TL;DR: Three working groups addressing questions regarding 1) metabolomics for in vitro studies 2) the appropriate use of metabolomics in systems toxicology, and 3) use of metabolites in a regulatory context are addressed.
Abstract: Metabolomics, the comprehensive analysis of metabolites in a biological system, provides detailed information about the biochemical/physiological status of a biological system, and about the changes caused by chemicals. Metabolomics analysis is used in many fields, ranging from the analysis of the physiological status of genetically modified organisms in safety science to the evaluation of human health conditions. In toxicology, metabolomics is the -omics discipline that is most closely related to classical knowledge of disturbed biochemical pathways. It allows rapid identification of the potential targets of a hazardous compound. It can give information on target organs and often can help to improve our understanding regarding the mode-of-action of a given compound. Such insights aid the discovery of biomarkers that either indicate pathophysiological conditions or help the monitoring of the efficacy of drug therapies. The first toxicological applications of metabolomics were for mechanistic research, but different ways to use the technology in a regulatory context are being explored. Ideally, further progress in that direction will position the metabolomics approach to address the challenges of toxicology of the 21st century. To address these issues, scientists from academia, industry, and regulatory bodies came together in a workshop to discuss the current status of applied metabolomics and its potential in the safety assessment of compounds. We report here on the conclusions of three working groups addressing questions regarding 1) metabolomics for in vitro studies 2) the appropriate use of metabolomics in systems toxicology, and 3) use of metabolomics in a regulatory context.

174 citations

Patent
23 Dec 2004
TL;DR: The hold feature as discussed by the authors suspends the production of movement signals to the computer, allowing the mouse to be physically relocated on the work surface without disturbing the position on the screen of the pointer.
Abstract: An optical mouse images as an array of pixels the spatial features of generally any micro textured or micro detailed work surface below the mouse. The photo detector responses are digitized and stored as a frame into memory. Motion produces successive frames of translated patterns of pixel information, which are compared by autocorrelation to ascertain the direction and amount of movement. A hold feature suspends the production of movement signals to the computer, allowing the mouse to be physically relocated on the work surface without disturbing the position on the screen of the pointer. This may be needed if the operator runs out of room to physically move the mouse further, but the screen pointer still needs to go further. The hold feature may be implemented with an actual button, a separate proximity detector or by detecting the presence of a characteristic condition in the digitized data, such as loss of correlation or velocity in excess of a selected limit. A convenient place for an actual hold button is along the sides of the mouse near the bottom, where the thumb and the opposing ring finger grip the mouse. The gripping force used to lift the mouse engages the hold function. Hold may incorporate a brief delay upon either the release of the hold button, detection of proper proximity or the return of reasonable digitized values. During that delay any illumination control or AGC servo loops stabilize. A new reference frame is taken prior to the resumption of motion detection.

173 citations


Authors

Showing all 7402 results

NameH-indexPapersCitations
Hongjie Dai197570182579
Zhuang Liu14953587662
Jie Liu131153168891
Thomas Quertermous10340552437
John E. Bowers102176749290
Roy G. Gordon8944931058
Masaru Tomita7667740415
Stuart Lindsay7434722224
Ron Shamir7431923670
W. Richard McCombie7114464155
Tomoyoshi Soga7139221209
Michael R. Krames6532118448
Shabaz Mohammed6418817254
Geert Leus6260919492
Giuseppe Gigli6154115159
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20228
2021142
2020157
2019168
2018164