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205results about How to "Improve accuracy and precision" patented technology

Method for predicting the therapeutic outcome of a treatment

A method useful for facilitating choosing a treatment or treatment regime and for predicting the outcome of a treatment for a disorder which is diagnosed and monitored by a physician or other appropriately trained and licensed professional, such as for example, a psychologist, based upon the symptoms experienced by a patient. Unipolar depression is an example of such a disorder, however the model may find use with other disorders and conditions wherein the patient response to treatment is variable. In the preferred embodiment, the method for predicting patient response includes the steps of performing at least one measurement of a symptom on a patient and measuring that symptom so as to derive a baseline patient profile, such as for example, determining the symptom profile with time; defining a set of a plurality of predictor variables which define the data of the baseline patient profile, wherein the set of predictor variables includes predictive symptoms and a set of treatment options; deriving a model that represents the relationship between patient response and the set of predictor variables; and utilizing the model to predict the response of said patient to a treatment. A neural net architecture is utilized to define a non-linear, second order model which is utilized to analyze the patient data and generate the predictive database from entered patient data.
Owner:ADVANCED BIOLOGICAL LAB

Feedback mechanism for smart nozzles and nebulizers

Nozzles and nebulizers that can be adjusted to produce an aerosol with optimum and reproducible quality based on the feedback information obtained using laser imaging techniques are provides. Two laser-based imaging techniques based on particle image velocimetry (PIV) and optical patternation are provided to map and contrast the size and velocity distributions for indirect and direct pneumatic nebulizations in plasma spectrometry. The flow field of droplets is illuminated by two pulses from a thin laser sheet with a known time difference. The scattering of the laser light from droplets is captured by a charge coupled device (CCD), providing two instantaneous images of the particles. Pointwise cross-correlation of the corresponding images yields a two-dimensional (2-D) velocity map of the aerosol velocity field. For droplet size distribution studies, the solution is doped with a fluorescent dye and both laser induced florescence (LIF) and Mie scattering images are captured simultaneously by two CCDs with the same field of view. The ratio of the LIF/Mie images provides relative droplet size information, which is then scaled by a point calibration method via a phase Doppler particle analyzer (PDPA). Two major outcomes are realized for three nebulization systems: 1) a direct injection high efficiency nebulizer (DIHEN); 2) a large-bore DIHEN (LB-DIHEN); and 3) a PFA microflow nebulizer with a PFA Scott-type spray chamber. First, the central region of the aerosol cone from the direct injection nebulizers and the nebulizer-spray chamber arrangement comprise fast (>13 m/s and >8 m/s, respectively) and fine (<10 μm and <5 μm, respectively) droplets as compared to slow (<4 m/s) and large (>25 μm) droplets in the fringes. Second, the spray chamber acts as a momentum separator, rather than a droplet size selector, as it removes droplets having larger sizes or velocities. Smart-tunable nebulizers may utilize the measured momentum as a feedback control for adjusting certain operation properties of the nebulizer, such as operating conditions and/or critical dimensions.

Iterative CDMA phase and frequency acquisition

A system and method is provided that searches for the frequency and phase of a CDMA transmission in an iterative manner. With its automatic frequency control (AFC) disabled, the receiving system performs a coarse search for the transmitter's CDMA phase at a nominal receiving frequency. When the coarse phase is obtained, the AFC is invoked with a large-range pull-in, to obtain an initial, coarse frequency that is likely to be closer to the transmitter's frequency than the initial nominal frequency. At this coarse frequency, the receiving system repeats its search for the transmitter's CDMA phase, starting at the previously determined coarse phase. Because this second phase determination is conducted in the presence of less frequency error, it provides for a more accurate phase determination. The AFC is again invoked, but with a small-range pull-in, to obtain a finer frequency determination. Because the finer frequency determination is conducted in the presence of less phase error, a substantial improvement in the accuracy and precision of the frequency determination can be achieved. To achieve this more accurate phase and frequency determination within the same time duration as a conventional acquisition process, the initial coarse phase determination is conducted using a rapid, albeit less accurate, process than the conventional phase determination.
Owner:NXP BV
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