The juxtaposition of computation and biology opens up a new world of science and technology. Richard Feynman characterizes the young and fast-developing world of computerscience as follows: "[it] is like enginee...
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The juxtaposition of computation and biology opens up a new world of science and technology. Richard Feynman characterizes the young and fast-developing world of computerscience as follows: "[it] is like engineering-it is all about getting something to do something."1 Viewed from this perspective, the scope of research and development at this intersection is a vast, two-way street that computerscience has to offer to biological science and biotechnology and vice versa. Computational thinking helps characterize, predict, and influence the dynamics of biological processes from molecular to cellular to organ in a way that revolutionizes our understanding of health and drug design. In turn, understanding the architecture and principles of natural biological processes and organization might require new models of computation, which could lead to robustness in the design of large-scale software and hardware systems, a hitherto elusive goal.
Bragg gratings fabricated on top of ion exchanged glass waveguides using PECVD-deposited silicon overlays are reported. The resulting Bragg gratings are characterized and transmission dips at 1536 nm in excess of 18 d...
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The effects of exercise, nutrition, and aging on the development of human skeletal muscles can be observed from the morphological changes of the Z-band under the electron microscope. Quantification of the Z-band damag...
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We present the use of molecular beacons as sensitive indicators in microfluidic bioMEM devices. A method has been developed to study mixing and hybridization of molecular beacons to target nucleic acids in real time i...
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We present the use of molecular beacons as sensitive indicators in microfluidic bioMEM devices. A method has been developed to study mixing and hybridization of molecular beacons to target nucleic acids in real time in a microfluidic channel. This method allows quantification of DNA and RNA molecules in solution, i.e., without the prerequisite of an immobilization step necessary in most other hybridization formats. The detection limit for DNA was determined to be in the order of femtomoles. Our results suggest the feasibility of using molecular beacon hybridization in microfluidic devices for the detection of pathogenic bacteria in environmental and medical fluids.
An algorithm has been developed for detection of epileptiform activity in the EEG. The EEG is divided into overlapping epochs, which undergo two steps. The first is singular value decomposition (SVD) which identifies ...
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An algorithm has been developed for detection of epileptiform activity in the EEG. The EEG is divided into overlapping epochs, which undergo two steps. The first is singular value decomposition (SVD) which identifies the number of uncorrelated active sources in an epoch. In the second step, EEG dipole source analysis, using a single dipole model, is applied to the EEG. This yields dipole parameters and a relative residual energy (RRE). The detection algorithm triggers an EEG epoch when SVD indicates a dominant source and the RRE is low. The algorithm is applied to simulated EEG generated by two sources which are synchronously and asynchronously active. For the synchronous case the critical measure is the RRE whereas for the asynchronous case both the SVD and RRE are critical. The algorithm has also been applied to real EEG containing two spikes and an eye-blink artifact. The SVD indicated a dominant active source and the RRE was low for all three events. These preliminary results demonstrate the potential of the method for detection of spikes and seizures with a focal origin.
The design of wholesale electricity markets through deregulation has focused almost exclusively on the development of competitive supply (generation). The demand side of the market has been virtually ignored. Mostly, ...
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ISBN:
(纸本)0780373227
The design of wholesale electricity markets through deregulation has focused almost exclusively on the development of competitive supply (generation). The demand side of the market has been virtually ignored. Mostly, this is due to the assumption that electricity demand is almost completely inelastic. As a result, deregulated wholesale markets universally fail to pass price signals down to the end-users. This paper challenges the assumption of inelastic demand by exploring the potential benefits of implementing a simple load control scheme. This load control scheme allows consumers to shift demand from high priced hours to low priced hours during the day. The benefits to the individual consumer are explored through an example applied to residential air conditioning using price and demand data from California. This example shows that "smart" use of air conditioning can lead to great savings for residential consumers, without sacrificing comfort. The potential for multiple consumers implementing load control to reduce wholesale prices is also examined.
Reports a single-crystalline silicon (SCS) micromirror used for laser beam scanning in an endoscopic optical coherence tomography (OCT) system. The micromirror is fabricated by using a deep reactive-ion-etch (DRIE) po...
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ISBN:
(纸本)0780371852
Reports a single-crystalline silicon (SCS) micromirror used for laser beam scanning in an endoscopic optical coherence tomography (OCT) system. The micromirror is fabricated by using a deep reactive-ion-etch (DRIE) post-CMOS micromachining process. Thin bimorph actuation structures and movable bulk silicon structures are simultaneously achieved. The micromirror is 1 mm by 1 mm in size, coated with aluminum, and thermally actuated by an integrated polysilicon heater. The radius of curvature of the mirror surface is 50 cm. The mirror rotates 17/spl deg/ when a 15 mA current is applied. Cross-sectional images of 500 /spl times/ 1000 pixels covering an area of 2.9 mm by 2.8 mm are acquired at 5 frames/s by using an OCT system based on this micromirror.
The design and characterization of a multi-modality system is presented for imaging of breast lesions based on co-registered diffuse optical and X-Ray tomography. Inherent limitations of X-Ray are overcome by combinat...
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Ultrasonic backscatter can provide information on the density of scatterers within biological media, and is therefore an important tool in tissue characterization. In this paper, a novel neural network approach to est...
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Ultrasonic backscatter can provide information on the density of scatterers within biological media, and is therefore an important tool in tissue characterization. In this paper, a novel neural network approach to estimate scatterer density from generalized entropy is proposed. Neural estimation compares favorably with nonlinear least-squares models.
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