Point-of-Need DNA Testing for Detection of Foodborne Pathogenic Bacteria

Foodborne pathogenic bacteria present a crucial food safety issue. Conventional diagnostic methods are time-consuming and can be only performed on previously produced food. The advancing field of point-of-need diagnostic devices integrating molecular methods, biosensors, microfluidics, and nanomaterials offers new avenues for swift, low-cost detection of pathogens with high sensitivity and specificity. These analyses and screening of food items can be performed during all phases of production. This review presents major developments achieved in recent years in point-of-need diagnostics in land-based sector and sheds light on current challenges in achieving wider acceptance of portable devices in the food industry. Particular emphasis is placed on methods for testing nucleic acids, protocols for portable nucleic acid extraction and amplification, as well as on the means for low-cost detection and read-out signal amplification

Interconnect yield analysis and fault tolerance for field programmable gate arrays

Imperial Users onl

Multiprocessing techniques for unmanned multifunctional satellites Final report,

Simulation of on-board multiprocessor for long lived unmanned space satellite contro

Reduced Galloping Column Algorithm For Memory Testing

Memory testing is significantly important nowadays especially in SOC’s design, due to their rapid growth in the memory density and design complexity in smaller chip area and low power design. Thus, test time in memory testing is a key challenge to accelerate time to market, high yield and low test cost in high volume manufacturing. Test time reduction in memory testing is important in industry, as test cost is directly related to validation time of each product on the tester. There are lots of memory algorithms used for memory testing, including the galloping column algorithm (GalCol). The GalCol algorithm test is important to detect unique coupling and transition faults. However, the existing GalCol algorithm takes huge test time due to its test complexity. To overcome the test time issue in industry, reduced GalCol algorithms with solid data background are proposed. The reduced GalCol algoritms have similar test behavior as original GalCol algorithm with major difference in the number of galloping of the target cells. The galloping of target cells are reduced to first and last 8, 16 and 32 of cells of every base cell. This project is progressed in two stages, which are the software development using INTEL software and Synopsys tool and test implementation on INTEL production flow. These algorithm are verified on 15 units of 64KB L2 SRAM memory. In this project, test time reduction and consistent pass fail test results are achieved in the reduced GalCol algorithm tests. The GalCol X8 algorithm obtains the highest test time reduction of about 79.5% at 600MHz and 75.7% at 1.6GHz with consistent pass or fail test results comparable to original GalCol algorithm in the HVM test flow

Aircraft electromagnetic compatibility

Illustrated are aircraft architecture, electromagnetic interference environments, electromagnetic compatibility protection techniques, program specifications, tasks, and verification and validation procedures. The environment of 400 Hz power, electrical transients, and radio frequency fields are portrayed and related to thresholds of avionics electronics. Five layers of protection for avionics are defined. Recognition is given to some present day electromagnetic compatibility weaknesses and issues which serve to reemphasize the importance of EMC verification of equipment and parts, and their ultimate EMC validation on the aircraft. Proven standards of grounding, bonding, shielding, wiring, and packaging are laid out to help provide a foundation for a comprehensive approach to successful future aircraft design and an understanding of cost effective EMC in an aircraft setting

NASA Space Engineering Research Center Symposium on VLSI Design

The NASA Space Engineering Research Center (SERC) is proud to offer, at its second symposium on VLSI design, presentations by an outstanding set of individuals from national laboratories and the electronics industry. These featured speakers share insights into next generation advances that will serve as a basis for future VLSI design. Questions of reliability in the space environment along with new directions in CAD and design are addressed by the featured speakers

Exploring the Selection of Galaxy Clusters and Groups: An Optical Survey for X-ray Dark Clusters

Data from a new, wide field, coincident optical and X-ray survey, the X-ray Dark Cluster Survey (XDCS) are presented. This survey comprises simultaneous and independent searches for clusters of galaxies in the optical and X-ray passbands. Optical cluster detection algorithms implemented on the data are detailed. Two distinct optically selected catalogues are constructed, one based on I-band overdensity, the other on overdensities of colour-selected galaxies. The superior accuracy of the colour-selection technique over that of the single passband method is demonstrated, via internal consistency checks and comparison with external spectroscopic redshift information. This is compared with an X-ray selected cluster catalogue. In terms of gross numbers, the survey yields 185 I-band selected, 290 colour selected and 15 X-ray selected systems, residing in ~11deg^2 of optical + X-ray imaging. The relationship between optical richness/ luminosity and X-ray luminosity is examined, by measuring X-ray luminosities at the positions of our 290 colour-selected systems. Power law correlations between the optical richness/ luminosity versus X-ray luminosity are fitted, both exhibiting approximately 0.2 dex of intrinsic scatter. Interesting outliers in these correlations are discussed in greater detail. Spectroscopic follow up of a subsample of X-ray underluminous systems confirms their reality.Comment: Accepted for publication in MNRAS. 31 pages, 38 figures. Full resolution version available at http://star-www.dur.ac.uk/~dgg/xdcs1.ps.g

Next generation transduction pathways for nano-bio-chip array platforms

textIn the following work, nanoparticle quantum dot (QD) fluorophores have been exploited to measure biologically relevant analytes via a miniaturized sensor ensemble to provide key diagnostic and prognostic information in a rapid, yet sensitive manner—data essential for effective treatment of many diseases including HIV/AIDS and cancer. At the heart of this “nano-bio-chip” (NBC) sensor is a modular chemical/cellular processing unit consisting of either a polycarbonate membrane filter for cell-based assays, or an agarose bead array for detection of biomarkers in serum or saliva. Two applications of the NBC sensor system are described herein, both exhibiting excellent correlation to reference methods ((R² above 0.94), with analysis times under 30 minutes and sample volumes below 50 [mu]L. First, the NBC sensor was employed for the sequestration and enumeration of T lymphocytes, cells specifically targeted by HIV, from whole blood samples. Several different conjugation methods linking QDs to recognition biomolecules were extensively characterized by biological and optical methods, with a thiol-linked secondary antibody labeling scheme yielding intense, specific signal. Using this technique, the photostability of QDs was exploited, as was the ability to simultaneously visualize different color QDs via a single light pathway, effectively reducing optical requirements by half. Further, T-cell counts were observed well below the 200/[mu]L discriminator between HIV and AIDS and across the common testing region, demonstrating the first reported example of cell counting via QDs in an enclosed, disposable device. Next, multiplexed bead-based detection of cancer protein biomarkers CEA, Her-2/Neu, and CA125 in serum and saliva was examined using a sandwich immunoassay with detecting antibodies covalently bound to QDs. This nano-based signal was amplified 30 times versus molecular fluorophores and cross talk in multiplexed experiments was less than 5%. In addition, molecular-level tuning of recognition elements (size, concentration) and agarose porosity resulted in NBC limits of detection two orders of magnitude lower than ELISA, values competitive with the most sensitive methods yet reported (0.021 ng/mL CEA). Taken together, these efforts serve to establish the valuable role of QDs in miniaturized diagnostic devices with potential for delivering biomedical information rapidly, reliably, and robustly.Chemistry and Biochemistr