Agilent Technologies

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..

Pressure distribution sensor and sensing method

Abstract: A spatial pressure distribution sensor comprises a sensor array and a processor. The sensor array comprises an array of pressure sensors. Each of the pressure sensors is operable to generate a respective pressure signal in response to pressure applied to it. The pressure signal quantifies the pressure with greater than single-bit resolution. The processor is operable in response to the pressure signals to generate an information signal representing the spatial distribution of pressure applied to the sensor array.

Active Solvent Modulation: A Valve-Based Approach To Improve Separation Compatibility in Two-Dimensional Liquid Chromatography.

Abstract: Two-dimensional liquid chromatography (2D-LC) is increasingly being viewed as a viable tool for solving difficult separation problems, ranging from targeted separations of structurally similar molecules to untargeted separations of highly complex mixtures. In spite of this performance potential, though, many users find method development challenging and most frequently cite the “incompatibility” between the solvent systems used in the first and second dimensions as a major obstacle. This solvent strength related incompatibility can lead to severe peak distortion and loss of resolution and sensitivity in the second dimension. In this paper, we describe a novel approach to address the incompatibility problem, which we refer to as Active Solvent Modulation (ASM). This valve-based approach enables dilution of 1D effluent with weak solvent prior to transfer to the 2D column but without the need for additional instrument hardware. ASM is related to the concept we refer to as Fixed Solvent Modulation (FSM), with...

Network analysis method

Abstract: A network analysis method for use in relation to a network having a plurality of entities, each with associated traffic, involves an analysis task comprising the steps of monitoring the network to collect data on entity traffic for a period of network operation, analyzing this data in respect of an entity operational characteristic by which the entities may be ordered into a ranking, forming an end set of at least one entity at one end of said ranking, and storing the identity of the or each entity making up that end set. The analysis task is carried out for a succession of N periods, where N is an integer greater than unity, to form an extended historical record of entities in the end sets for those N periods; the analysis task is then carried out for a further period and the entities in the resulting newly-created end set are compared with the entities in the extended historical record, to identify any entity (an `unusually-behaved` entity) that is in the newly-created end set but not also in the historical record.

Deregulation of cancer-related miRNAs is a common event in both benign and malignant human breast tumors

Abstract: MicroRNAs (miRNAs) are endogenous non-coding RNAs, which play an essential role in the regulation of gene expression during carcinogenesis. The role of miRNAs in breast cancer has been thoroughly investigated, and although many miRNAs are identified as cancer related, little is known about their involvement in benign tumors. In this study, we investigated miRNA expression profiles in the two most common types of human benign tumors (fibroadenoma/fibroadenomatosis) and in malignant breast tumors and explored their role as oncomirs and tumor suppressor miRNAs. Here, we identified 33 miRNAs with similar deregulated expression in both benign and malignant tumors compared with the expression levels of those in normal tissue, including breast cancer-related miRNAs such as let-7, miR-21 and miR-155. Additionally, messenger RNA (mRNA) expression profiles were obtained for some of the same samples. Using integrated mRNA/miRNA expression analysis, we observed that overexpression of certain miRNAs co-occurred with a significant downregulation of their candidate target mRNAs in both benign and malignant tumors. In support of these findings, in vitro functional screening of the downregulated miRNAs in non-malignant and breast cancer cell lines identified several possible tumor suppressor miRNAs, including miR-193b, miR-193a-3p, miR-126, miR-134, miR-132, miR-486-5p, miR-886-3p, miR-195 and miR-497, showing reduced growth when re-expressed in cancer cells. The finding of deregulated expression of oncomirs and tumor suppressor miRNAs in benign breast tumors is intriguing, indicating that they may play a role in proliferation. A role of cancer-related miRNAs in the early phases of carcinogenesis and malignant transformation can, therefore, not be ruled out.

Optical switches using dual axis micromirrors

Abstract: In a first embodiment of an optical switch having at least one dual axis micromirror, the micromirror is manipulated about two generally perpendicular axes by varying voltage patterns along two electrostatic arrangements The two electrostatic arrangements may be formed to independently drive two movers, or may be formed to control a mover that is displaceable in two directions The micromirrors and the movers that control the micromirrors may be integrated onto a single substrate Alternatively, the micromirrors may be formed on a substrate that is attached to the substrate that includes the mover or movers In a second embodiment of an optical switch in accordance with the invention, the switch includes two collimator arrays and two dual axis micromirror arrays Each first micromirror in the first micromirror array is dedicated to one of the collimators in the first collimator array Similarly, each second micromirror of the second micromirror array is dedicated to one of the collimators of the second collimator array By manipulating a first micromirror, an input signal from the associated first collimator can be reflected to any of the second micromirrors By manipulating the second micromirror that receives the signal, the signal can be precisely positioned on the second collimator that is associated with the second micromirror