Abstract: An apparatus and method for calculating foreign exchange advantages, the apparatus includes at least a processor and a memory containing instructions configuring the at least a processor to acquire action data from an entity, wherein an element of the action data includes at least a plurality of originators and at least a plurality of receivers, process the action data, wherein processing the action data includes classifying a plurality of action data elements to at least an originator of the plurality of originators and a receiver of the plurality of receivers and classifying the action data against a data store including at least a foreign exchange rate, generate a conversion record as a function of the processed action data, and output the conversion record to a third-party computing device.

Abstract: An apparatus and method for calculating foreign exchange advantages, the apparatus includes at least a processor and a memory containing instructions configuring the at least a processor to acquire action data from an entity, wherein an element of the action data includes at least a plurality of originators and at least a plurality of receivers, process the action data, wherein processing the action data includes classifying a plurality of action data elements to at least an originator of the plurality of originators and a receiver of the plurality of receivers and classifying the action data against a data store including at least a foreign exchange rate, generate a conversion record as a function of the processed action data, and output the conversion record to a third-party computing device.

Abstract: An apparatus and method for calculating foreign exchange advantages, the apparatus includes at least a processor and a memory containing instructions configuring the at least a processor to acquire action data from an entity, wherein an element of the action data includes at least a plurality of originators and at least a plurality of receivers, process the action data, wherein processing the action data includes classifying a plurality of action data elements to at least an originator of the plurality of originators and a receiver of the plurality of receivers and classifying the action data against a data store including at least a foreign exchange rate, generate a conversion record as a function of the processed action data, and output the conversion record to a third-party computing device.

Abstract: A non-invasive NMR based apparatus for measuring a food attribute (moisture, sugar content) in food products comprises a magnetic chamber, an RF pulsing device attached to the magnetic chamber, a sensor receiver, and a data processing unit in communication with the sensor receiver. The pulsing device exposes the food ingredients/snacks to an RF field and produces an NMR response signal that is detected by the sensor receiver. The data processing unit quantitatively measures a food attribute of the food product based on the NMR response signal.

Abstract: A non-invasive NMR based apparatus for measuring a food attribute (moisture, sugar content) in food products comprises a magnetic chamber, an RF pulsing device attached to the magnetic chamber, a sensor receiver, and a data processing unit in communication with the sensor receiver. The pulsing device exposes the food ingredients/snacks to an RF field and produces an NMR response signal that is detected by the sensor receiver. The data processing unit quantitatively measures a food attribute of the food product based on the NMR response signal.

Abstract: A non-invasive NMR based apparatus for measuring a food attribute (moisture, sugar content) in food products comprises a magnetic chamber, an RF pulsing device attached to the magnetic chamber, a sensor receiver, and a data processing unit in communication with the sensor receiver. The pulsing device exposes the food ingredients/snacks to an RF field and produces an NMR response signal that is detected by the sensor receiver. The data processing unit quantitatively measures a food attribute of the food product based on the NMR response signal.

Abstract: A non-invasive NMR based apparatus for measuring a food attribute (moisture, sugar content) in food products comprises a magnetic chamber, an RF pulsing device attached to the magnetic chamber, a sensor receiver, and a data processing unit in communication with the sensor receiver. The pulsing device exposes the food ingredients/snacks to an RF field and produces an NMR response signal that is detected by the sensor receiver. The data processing unit quantitatively measures a food attribute of the food product based on the NMR response signal.

Abstract: A non-invasive NMR based apparatus for measuring a food attribute (moisture, sugar content) in food products comprises a magnetic chamber, an RF pulsing device attached to the magnetic chamber, a sensor receiver, and a data processing unit in communication with the sensor receiver. The pulsing device exposes the food ingredients/snacks to an RF field and produces an NMR response signal that is detected by the sensor receiver. The data processing unit quantitatively measures a food attribute of the food product based on the NMR response signal.

Abstract: A non-invasive NMR based apparatus for measuring a food attribute (moisture, sugar content) in food products comprises a magnetic chamber, an RF pulsing device attached to the magnetic chamber, a sensor receiver, and a data processing unit in communication with the sensor receiver. The pulsing device exposes the food ingredients/snacks to an RF field and produces an NMR response signal that is detected by the sensor receiver. The data processing unit quantitatively measures a food attribute of the food product based on the NMR response signal.

Abstract: A method and apparatus for detecting the presence of abnormal tissues of the present invention utilizing a magnetic resonance imaging system in communication with a computer. The apparatus is configured to define a confidence region using a probability based confidence interval calculation such as multivariate or bivariate analysis for at least two parameters in a normal tissue sample by making a magnetic resonance image, and then to evaluate a second sample by making a magnetic resonance image. Parameters detectable by magnetic resonance imaging 3 are selected from t1, t2, t2*, signal intensity, and diffusion.

Abstract: A method and apparatus for detecting the presence of abnormal tissues of the present invention utilizing a magnetic resonance imaging system in communication with a computer. The apparatus is configured to define a confidence region using a probability based confidence interval calculation such as multivariate or bivariate analysis for at least two parameters in a normal tissue sample by making a magnetic resonance image, and then to evaluate a second sample by making a magnetic resonance image. Parameters detectable by magnetic resonance imaging 3 are selected from t1, t2, t2*, signal intensity, and diffusion.

Abstract: The present invention relates to a probe and processes useful for magnetic resonance imaging and spectroscopy instruments. More particularly, the invention relates to a MR probe and processes for obtaining resolution enhancements of fluid objects, including live specimens, using an ultra-slow (magic angle) spinning (MAS) of the specimen combined with a modified phase-corrected magic angle turning (PHORMAT) pulse sequence. Proton NMR spectra were measured of the torso and the top part of the belly of a female BALBc mouse in a 2 T field, while spinning the animal at a speed of 1.5 Hz. Results show that even in this relatively low field with PHORMAT, an isotropic spectrum is obtained with line widths that are a factor 4.6 smaller than those obtained in a stationary mouse. Resolution of 1H NMR metabolite spectra are thus significantly enhanced.