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| 20100248711 | PLUS CODE DIALING IN A MOBILE DEVICE - A mobile device include processes that allow the mobile device to make international calls using network-based plus code dialing even when the current network does not inherently support network-based plus code dialing. The mobile device obtains, via a set-up process, state information describing whether the network supports network-based plus code dialing. The mobile device transmits, in response to a request from a user and when the state information indicates the network supports network-based plus code dialing, a message to the network to initiate the international call based on a network-based plus code dialing scheme. The mobile device transmits, in response to the request from the user and when the state information indicates the network does not support network-based plus code dialing, a message to the network to initiate the international call using a handset-based plus code dialing scheme. | 09-30-2010 |
| 20110143753 | DETERMINING MOBILE STATION OPERATING COUNTRY TO ENABLE SYSTEM SELECTION OR OTHER LOCATION BASED DEVICE FEATURES WITHOUT NETWORK ASSISTANCE - A mobile station automatically determines a country in which mobile station is or will operate from readily available information, without direct assistance from the local wireless communication network. A multimode mobile station, for example, capable of both 3GPP and CDMA operation, is programmed to detect both MCC type system identifiers (from 3GPP protocol) and SID type system identifiers (from CDMA protocol) and map both types of identifiers to country identifications. However, at some locations, the SID may not uniquely map to a country. In this later case, an exemplary mobile station may identify the country by determining a local time (LTM) offset and mapping a combination of the SID obtained at the current location and the LTM offset to an identification of the country. The mobile station may use the country determination to help select a preferred network or to enable a location based device feature. | 06-16-2011 |
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| 20090063102 | METHOD FOR IDENTIFYING A CONVOLVED PEAK - A method for identifying a convolved peak is described. A plurality of spectra is obtained. A multivariate analysis technique is used to assign data points from the plurality of spectra to a plurality of groups. A peak is selected from the plurality of spectra. If the peak includes data points assigned to two or more groups of the plurality of groups, the peak is identified as a convolved peak. Principal component analysis is one multivariate analysis technique that is used to assign data points. A number of principal components are selected. A subset principal component space is created. A data point in the subset principal component space is selected. A vector is extended from the origin of the subset principal component space to the data point. One or more data points within a spatial angle around the vector are assigned to a group. | 03-05-2009 |
| 20090063592 | METHODS FOR DATA PROCESSING - According to various embodiments, variables are grouped in an unsupervised manner after principal component analysis of a plurality of variables from a plurality of samples. A number of principal components are selected. A subset principal component space is created for those components. A starting variable is selected. A spatial angle is defined around a vector extending from the origin to the starting variable. A set of one or more variables is selected within the spatial angle. The set is assigned to a group. The set is removed from further analysis. The process is repeated starting with the selection of a new starting variable until all groups are found. | 03-05-2009 |
| 20090254314 | SYSTEMS AND METHODS FOR IDENTIFYING CORRELATED VARIABLES IN LARGE AMOUNTS OF DATA - Groups of correlated representations of variables are identified from a large amount of spectrometry data. A plurality of samples is analyzed and a plurality of measured variables is obtained from a spectrometer. A processor executes a number of steps. The plurality of measured variables is divided into a plurality of measured variable subsets. Principal component analysis followed by variable grouping (PCVG) is performed on each measured variable subset, producing one or more group representations for each measured variable subset and a plurality of group representations for the plurality of measured variable subsets. While the total number of the plurality of group representations is greater than a maximum number, the plurality of group representations is divided into a plurality of representative subsets and PCVG is performed on each subset. PCVG is performed on the remaining the plurality of group representations, producing a plurality of groups of correlated representations of variables. | 10-08-2009 |
| 20090259438 | RELATIVE NOISE - Relative noise is a single scalar value that is used to predict the maximum value of the expected noise at any point and is calculated from the measured signal and a mathematical noise model. The mathematical noise model is selected or estimated from an observation that includes statistical and/or numerical modeling based on a population of measurement points. An absolute noise for a plurality of points of the measured signal is estimated. An array of values is calculated by dividing each of a plurality of points of the absolute noise by a corresponding expected noise value calculated from the mathematical noise model. The relative noise is calculated by taking a standard deviation of a plurality of points of the array. The relative noise can be used to calculate scaled background signal noise, filter regions, denoise data, detect false positives from features, calculate S/N, and determine a stop condition for acquiring data. | 10-15-2009 |
| 20100072356 | SYSTEMS AND METHODS FOR REDUCING NOISE FROM MASS SPECTRA - Systems and methods for reducing background noise in a mass spectrum. The method includes the following steps of: (a) obtaining an original mass spectrum; (b) determining a noise mass spectrum corresponding to background noise in the original mass spectrum; and (c) determining a corrected mass spectrum by subtracting the noise mass spectrum from the original mass spectrum. Step (b) of the method may include the steps of: A) effecting a transformation of the original mass spectrum into the frequency domain to obtain an original frequency spectrum; B) identifying at least one dominant frequency in the original frequency spectrum; C) generating a noise frequency spectrum by selectively filtering for said dominant frequencies; and D) determining the noise mass spectrum by effecting a transformation of the noise frequency spectrum into the mass domain. Preferably for each correlated pair of original and noise intensity data points, the minimum value is determined and the noise mass spectrum is modified by making the noise intensity data point equal to the minimum value. | 03-25-2010 |
| 20110082658 | SYSTEMS AND METHODS FOR MAINTAINING THE PRECISION OF MASS MEASUREMENT - Reference features are updated based on a previous scan during each mass spectrometry scan of a sample. Reference features with reference feature confidence values are generated from a plurality of initial scans. For each subsequent scan of a sample, sample features and sample feature confidence values are calculated. The reference features and sample features are aligned to determine common features. Constants are determined for an equation of mass of the mass spectrometer using confidence weighted regression of the common features. The constants and the equation of mass are used to calculate new mass values for the sample features. The reference features are updated using the sample features and the reference feature confidence values are recalculated in order to maintain the accuracy of reference features for calibration. | 04-07-2011 |
| 20110202287 | SYSTEMS AND METHODS FOR EXTENDING THE DYNAMIC RANGE OF MASS SPECTROMETRY - Systems and methods are used to predict intensities of a saturated peak using a peak predictor. A set of data is selected from the plurality of intensity measurements that includes a saturated peak. Confidence values are assigned to each data point in the set of data producing a plurality of confidence value weighted data points. A peak predictor is selected. The peak predictor is applied to the plurality of confidence value weighted data points of the saturated peak producing predicted intensities for the saturated peak. The confidence values can include system confidence values, predictor confidence values, or a combination of system confidence values and predictor confidence values. The peak predictor can be a theoretical model, a dynamic model, an artificial neural network, or an analytical function representing a best fit of a plurality of probability density functions to a first set of measured data that includes a representative non-saturated peak. | 08-18-2011 |
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| 20080274157 | Cartilage implant plug with fibrin glue and method for implantation - The invention is directed toward a cartilage repair assembly comprising a shaped structure of subchondral bone with an integral overlying cartilage cap which is treated to remove cellular debris and proteoglycans and milled cartilage in a bioabsorbable carrier. The shaped structure is dimensioned to fit in a drilled bore in a cartilage defect area so that said shaped bone and cartilage cap when centered in the bore does not engage the side wall of the bore and is positioned from the side wall of the bone a distance ranging from 10 microns to 1000 microns and is surrounded by milled cartilage and a fibrin thrombin glue. A method for inserting the assembly into a cartilage defect area is disclosed. | 11-06-2008 |
| 20090043389 | CARTILAGE IMPLANT PLUG WITH FIBRIN GLUE AND METHOD FOR IMPLANTATION - The invention is directed toward a cartilage repair assembly comprising a shaped structure of subchondral bone with an integral overlying cartilage cap which is treated to remove cellular debris and proteoglycans and milled cartilage in a bioabsorbable carrier. The shaped structure is dimensioned to fit in a drilled bore in a cartilage defect area so that said shaped bone and cartilage cap when centered in the bore does not engage the side wall of the bore in an interference fit and is surrounded by milled cartilage and carrier. A method for inserting the assembly into a cartilage defect area is disclosed. | 02-12-2009 |
| 20100279112 | SILK FIBROIN MATERIALS AND USE THEREOF - The present invention provides processes for producing porous silk fibroin scaffold material. The porous silk fibroin scaffold can be used for tissue engineering. The porosity of the silk fibroin scaffolds described herein can be adjusted as to mimic the gradient of densities found in natural tissue. Accordingly, methods for engineering of 3-dimensional tissue, e.g. bone and cartilage, using the silk fibroin scaffold material are also provided. | 11-04-2010 |
| 20110076384 | SYSTEM AND METHOD FOR MAKING BIOMATERIAL STRUCTURES - A system and method for making a biomaterial device includes a support structure providing a shape for a biomaterial device. At least one applicator has a supply of biomaterial solution and is positioned along the support structure. The at least one applicator forms a biomaterial fiber by applying shear force to the biomaterial solution and delivering the biomaterial fiber to the support structure. A controller causes relative movement between the support structure and the at least one applicator, and the biomaterial fiber is arranged on the support structure according to the relative movement to form the biomaterial device. The biomaterial may be silk fibroin which may be wound onto a reciprocating and rotating mandrel. Control over the properties of the biomaterial device is achieved through appropriate selection of material processing, winding strategy, and post-winding processing. | 03-31-2011 |
| 20110136225 | BIOREACTOR, DEVICES, SYSTEMS AND METHODS - Disclosed are bioreactor devices, systems and methods. A bioreactor system can include one or more bioreactor modules that can be individually controllable and identifiable. A bioreactor module can be connected to one or more functional modules such as a pump module, a stimulation signal generation module, a motor module, a mechanical transmission module, a gas exchange module, a temperature module, a humidity module and/or a CO | 06-09-2011 |
