The State University of New York

Wei Zhu

George B Stefano

Kirk J Mantione

Patrick Cadet

Tianhao Zhao

Tahsin M Kurc

Joel Haskin Saltz

Si Wen

Yi Gao

Sampurna Shrestha

Xuena Wang

John S Kovach

A method of testing an impedance-sensitive system with a switching device, wherein the method comprises: switching the disconnecting device into the on-state configured to permit transmission of energy via the coil; implementing a first measurement with the impedance-sensitive system; switching the disconnecting device into the off-state configured to permit damping of the external positioning signal that couples into the coil so as to reduce the undesirable oscillations of the coil; implementing a second measurement with the impedance-sensitive system; performing a comparison of the first measurement and the second measurement; performing a verification of the comparison with a target specification; and displaying a correct function and/or a malfunction depending on the verification.

System and method associated with predicting segmentation quality of objects in analysis of copious image data

A system associated with predicting segmentation quality of segmented objects implemented in the analysis of copious image data is disclosed. The system receives a collection of image data related to a particular type of data. The image data is segmented into segmented data portions based on an object associated with the collection of image data. Regions of interest associated with the segmented data portions are determined. The quality of segmentation of the segmented data portions is determined for respective classification of the regions of interest. A classification label is assigned to the regions of interest. Regions of interest are partitioned into sub-regions. Features associated with the sub-regions of the segmented data portions are determined. A training dataset is generated based on the determined features associated with the sub-regions in order to train a classification model based on a predetermined threshold value. Test images are received to iteratively classify segmented data portions based on an object associated with the test images, using the trained classification model. The segmentation quality of segmented objects in the test images is predicted based on the trained classification model. A corresponding method and computer-readable device are also disclosed.

Methods and materials related to the use of morphine, morphine precursors (e.g., reticuline), and inhibitors of morphine synthesis or activity to treat diseases, to reduce inflammation, or to restore normal function are provided.

Morphine and morphine precursors

A comprehensive analysis procedure for analyzing and comparing multiple sets of data to detect hidden discriminatory data patterns. The inventive procedure identifies a best subset of markers for optimal discrimination between two or more sets of data. A point-wise test on two or more sets of data is performed to calculate test statistic values and to generate a statgram, a two- or higher- dimensional map of the test statistic values along the range of data. A threshold is then determined for isolating critical regions of the statgram at each significance level to provide candidate markers. A subset of markers from the candidate markers is then selected to discriminate among the sets of data. The two or more sets of data are classified using the subset of markers.

Method for detecting discriminatory data patterns in multiple sets of data and diagnosing disease

The invention relates to nitric oxide (NO) stimulating extracts from various plants. Such extracts contain compounds known as healthin I and healthin II. Specifically, the invention provides partially purified plant extracts that have NO stimulating activity, methods of isolating and partially purifying such extracts from plant materials. In addition, the invention provides methods and materials for treating diseases and conditions that require modification of cellular levels of NO, for example, diseases and conditions involving inflammation.

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West Babylon, NY, United States of America

Wei Zhu