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..

Modeling of internet services

Abstract: The dependancies of a computer service are modeled. The modeling hierarchically defines the relationships between the computer service and the hardware and software services which the computer service depends. These relationships may be contained in data structures defining a directed acyclic graph. The model also defines which measurements need to be taken to determine health and performance of the computer service and the health and performance of all the computer services upon which the computer service depends. Software agents that take these measurements may be deployed using the model to determine the measurement locations and functions. Data from measurement agents may be propagated up the model hierarchy. The model (200) may also be visualized by a graphical interface to communicate the dependancies and the health and status of the services upon which the modeled service depends.

Next-generation sequencing-based genome diagnostics across clinical genetics centers: implementation choices and their effects.

Abstract: Implementation of next-generation DNA sequencing (NGS) technology into routine diagnostic genome care requires strategic choices. Instead of theoretical discussions on the consequences of such choices, we compared NGS-based diagnostic practices in eight clinical genetic centers in the Netherlands, based on genetic testing of nine pre-selected patients with cardiomyopathy. We highlight critical implementation choices, including the specific contributions of laboratory and medical specialists, bioinformaticians and researchers to diagnostic genome care, and how these affect interpretation and reporting of variants. Reported pathogenic mutations were consistent for all but one patient. Of the two centers that were inconsistent in their diagnosis, one reported to have found 'no causal variant', thereby underdiagnosing this patient. The other provided an alternative diagnosis, identifying another variant as causal than the other centers. Ethical and legal analysis showed that informed consent procedures in all centers were generally adequate for diagnostic NGS applications that target a limited set of genes, but not for exome- and genome-based diagnosis. We propose changes to further improve and align these procedures, taking into account the blurring boundary between diagnostics and research, and specific counseling options for exome- and genome-based diagnostics. We conclude that alternative diagnoses may infer a certain level of 'greediness' to come to a positive diagnosis in interpreting sequencing results. Moreover, there is an increasing interdependence of clinic, diagnostics and research departments for comprehensive diagnostic genome care. Therefore, we invite clinical geneticists, physicians, researchers, bioinformatics experts and patients to reconsider their role and position in future diagnostic genome care.

Microfluidic assembly with coupled microfluidic devices

Abstract: A microfluidic assembly (1;57) has at least one microfluidic flow path (17,27,29,35,38;82,85,95) and at least one inlet port (11,13,15;81,97,101) coupled to the flow path (17,27,29,35,38;82,85,95). The microfluidic assembly (1;57) has a first microfluidic device (7;63) that executes a microfluidic process and has a second microfluidic device (9;61). The microfluidic assembly (1;57) has an interface (5;65). The interface (5;65) couples the first microfluidic device (7;63) and the second microfluidic device (9;61).

Buffer management architecture and method for an infiniband subnetwork

Abstract: An architecture and method for dynamically allocating and deallocating memory for variable length packets with a variable number of virtual lanes in an Infiniband subnetwork. This architecture uses linked lists and tags to handle the variable number of Virtual Lanes and the variable packet sizes. The memory allocation scheme is independent of Virtual Lane allocation and the maximum Virtual Lane depth. The disclosed architecture is also able to process Infiniband packet data comprising variable packet lengths, a fixed memory allocation size, and deallocation of memory when packets are either multicast or unicast. The memory allocation scheme uses linked lists to perform memory allocation and deallocation, while tags are used to track Infiniband subnetwork and switch-specific issues. Memory allocation and deallocation is performed using several data and pointer tables. These tables store packet data information, packet buffer address information, and pointer data and point addresses. The tags allow the memory allocation and deallocation process to correctly handle good and bad packets, as well as successive blocks within a data packet.

Detection of nanoparticles in edible plant tissues exposed to nano-copper using single-particle ICP-MS

Abstract: The increasing use of nanopesticides has raised concerns about their effects on crop plants and the impact of human health as well as ecological effects. While increased uptake of metal ions has been observed before, to date, very few studies have demonstrated the presence of nanoparticles in edible tissues. Single-particle inductively coupled plasma–mass spectrometry (sp-ICP-MS) has been suggested as a powerful tool to detect inorganic nanoparticles (NPs) in environmental samples. Here, we exposed edible plant tissues from lettuce, kale, and collard green to nano-CuO, simulating its use as a nanopesticide. We applied sp-ICP-MS to demonstrate the presence of nanoparticles, both in the water used to rinse crop leaf surfaces exposed to nano-CuO and within the leaf tissues. Lettuces retained the highest amounts of nCuO NPs on the leaf surface, followed by collard green and then kale. Surface hydrophilicity and roughness of the leaf surfaces played an important role in retaining nano-CuO. The results indicate that most of the nanoparticles are removed via washing, but that a certain fraction is taken up by the leaves and can result in human exposure, albeit at low levels.