Abstract: In one embodiment, a sequence of input words is received. Each of the input words is encoded as an indicator vector, wherein a sequence of the indicator vectors captures features of the sequence of input words. The sequence of the indicator vectors is then mapped to a distribution of a contextual probability of a first output word in a sequence of output words. For each subsequent output word, the sequence of the indicator vectors is encoded with a context, wherein the context comprises a previously mapped contextual probability distribution of a fixed window of previous output words; and the encoded sequence of the indicator vectors and the context is mapped to the distribution of the contextual probability of the subsequent output word. Finally, a condensed summary is generated using a decoder by maximizing the contextual probability of each of the output words.

Abstract: In one embodiment, a sequence of input words is received. Each of the input words is encoded as an indicator vector, wherein a sequence of the indicator vectors captures features of the sequence of input words. The sequence of the indicator vectors is then mapped to a distribution of a contextual probability of a first output word in a sequence of output words. For each subsequent output word, the sequence of the indicator vectors is encoded with a context, wherein the context comprises a previously mapped contextual probability distribution of a fixed window of previous output words; and the encoded sequence of the indicator vectors and the context is mapped to the distribution of the contextual probability of the subsequent output word. Finally, a condensed summary is generated using a decoder by maximizing the contextual probability of each of the output words.

Abstract: Identification of a determinative subset of features from within a group of features is performed by training a support vector machine using training samples with class labels to determine a value of each feature, where features are removed based on their the value. One or more features having the smallest values are removed and an updated kernel matrix is generated using the remaining features. The process is repeated until a predetermined number of features remain which are capable of accurately separating the data into different classes. In some embodiments, features are eliminated by a ranking criterion based on a Lagrange multiplier corresponding to each training sample.

Abstract: In one embodiment, a sequence of input words is received. Each of the input words is encoded as an indicator vector, wherein a sequence of the indicator vectors captures features of the sequence of input words. The sequence of the indicator vectors is then mapped to a distribution of a contextual probability of a first output word in a sequence of output words. For each subsequent output word, the sequence of the indicator vectors is encoded with a context, wherein the context comprises a previously mapped contextual probability distribution of a fixed window of previous output words; and the encoded sequence of the indicator vectors and the context is mapped to the distribution of the contextual probability of the subsequent output word. Finally, a condensed summary is generated using a decoder by maximizing the contextual probability of each of the output words.

Abstract: This invention relates to a safety needle accessory sealed within a pack suitable for sealing pre-filled syringes. The safety needle accessory comprises a hub for surrounding a hollow needle having a tip and having a connector for attachment to a syringe, a slidable sleeve adapted to slide over the needle in a first longitudinal direction from a first position in which the needle is fully or partially covered by the sleeve to a second position in which the needle is exposed, and in a second longitudinal direction from the second position to a third position in which the needle is fully covered by the sleeve, and a pack surrounding the hollow needle, hub and slidable sleeve having a closed end covering the needle and an open end exposing the connector of the hub. The safety needle accessory further comprises a first seal attached to the connector of the hub and a second seal between the hub and the pack.

Abstract: A safety needle accessory is provided for the prevention of needle stick injuries. The safety needle accessory includes a hollow needle, a hub surrounding a base of the hollow needle, a sleeve surrounding the hub, and a elastically deformable member. The sleeve is slidable to a first, a second and a third position in which the sleeve fully or partially covers the needle. In addition, the safety needle accessory includes a pack having a removable cap. The cap is removable from the pack while a remainder of the pack remains mounted over the needle, hub and sleeve. The cap is removed from the pack at a position such that removal of the cap exposes a sharp end of the needle, but not the sleeve, when the sleeve is in the intermediate position.

Abstract: A safety needle for automatically covering a tip of a needle following removal of the needle from a patient is provided. The safety needle includes an injection device and a packing sleeve. The injection device has an initial position and an intermediate position. The packing sleeve has a generally hollow body surrounding at least a portion of the injection device in the initial position and the intermediate position. The hollow body includes at least one track having an activation leg and a releasing leg. The at least one track is configured to slidingly engage with at least one member of the injection device to move the injection device to the intermediate position. The packing sleeve is removable from the injection device only when the injection device is in the intermediate position.

Abstract: A cannula has a body with a proximal end and a distal end and a tip on the distal end. The tip has an outer wall defining a lumen opening at the end of the tip and extending to the proximal end of the cannula. The tip further comprises one or more ribs extending into the lumen to support the outer wall from kinking when the cannula is flexed. The outer wall has a inner surface defining the lumen and a plurality of non-circular apertures formed in the tip extending into the lumen. The apertures having a major axis and a minor axis. The major axis aligned in relation to a circumference of the outer wall to prevent puckering or buckling when the tip is bent. This alignment is also designed to support the outer wall from kinking when the tip is bent.

Abstract: A packing sleeve for use with a safety needle that automatically covers a tip of a needle following removal of the needle from a patient includes a generally hollow body having a longitudinal axis and a distal end and an open proximal end. The body surrounds at least a portion of the safety needle and has at least one track having an activation leg and a releasing leg. The at least one track is in sliding engagement with at least one member of the safety needle such that the motion of a portion of the safety needle relative to the body is dictated by a path the at least one member follows along the respective at least one track. The safety needle is in an initial position when the at least one member is proximate a first end of the activation leg and in an intermediate position when the at least one member is proximate a second end of the activation leg.

Abstract: Various embodiments provide an apparatus and method for collecting and distributing power usage data from Rack Power Distribution Units (RPDUs) using a wireless sensor network.

Abstract: Support vector machines are used to classify data contained within a structured dataset such as a plurality of signals generated by a spectral analyzer. The signals are pre-processed to ensure alignment of peaks across the spectra. Similarity measures are constructed to provide a basis for comparison of pairs of samples of the signal. A support vector machine is trained to discriminate between different classes of the samples. to identify the most predictive features within the spectra. In a preferred embodiment feature selection is performed to reduce the number of features that must be considered.

Abstract: A safety needle accessory includes a hub (6) having a connector (2) for surrounding a hollow needle. The hub has a first seal (10) that engages sealingly with the connector. A slidable sleeve (8) slides over the needle in a first longitudinal direction from a first position in which the needle is fully or partially covered by the sleeve to a second position in which the needle is exposed to a third position in the second direction in which the needle is fully covered by the sleeve. A pack (9) having a closed end surrounds the hollow needle, hub and slidable sleeve. The pack has a first section which abuts the hub or the first seal to form a second seal and the pack has a second section which engages the needle tip to form a third seal (12) between the closed end of the pack and a needle tip.

Abstract: A power supply capable of receiving digital communications from an electrical device is described. The power supply includes a microprocessor and instructions, configured for execution by the microprocessor, to receive a digital communication from a device to be powered by the power supply. A method of supplying power is also described. The method includes receiving a digital communication from a device and supplying power to the device based on the digital communication.

Abstract: This invention relates to an accessory for attaching to a needle to prevent needle stick injuries. The safety needle accessory is suitable for use with a hollow needle and comprises a needle hub surrounding the needle and a slidable sleeve slidably mounted on the needle hub. The slidable sleeve bears resiliently on the needle hub such that, in use, as the slidable sleeve is caused to move into a retracted position. A restoring force is generated within the slidable sleeve and on removal of the needle from the patient the restoring force causes the slidable sleeve to move into an extended position covering the needle tip. The safety needle locks in this position after removal of the needle from the patient.

Abstract: A safety needle pack to prevent needle stick injuries includes a hollow needle, a needle hub, a slidable sleeve mounted on the needle hub and a pack surrounding the needle, hub and sleeve. The slidable sleeve is adapted to slide between an extended position in which the injection end of the needle is located inside the slidable sleeve and a retracted position in which the injection end of the needle projects from the slidable sleeve. The pack is releasably mounted on the needle hub and slidable sleeve such that the injection end of the pack covers the tip of needle.

Abstract: Various embodiments provide an apparatus and method for collecting and distributing power usage data from Rack Power Distribution Units (RPDUs) using a wireless sensor network.

Abstract: A group of features that has been identified as “significant” in being able to separate data into classes is evaluated using a support vector machine which separates the dataset into classes one feature at a time. After separation, an extremal margin value is assigned to each feature based on the distance between the lowest feature value in the first class and the highest feature value in the second class. Separately, extremal margin values are calculated for a normal distribution within a large number of randomly drawn example sets for the two classes to determine the number of examples within the normal distribution that would have a specified extremal margin value. Using p-values calculated for the normal distribution, a desired p-value is selected. The specified extremal margin value corresponding to the selected p-value is compared to the calculated extremal margin values for the group of features.

Abstract: The present invention provides a motorcycle including a frame having a forward portion and a rearward portion. The forward portion includes a steering head. The motorcycle also includes an engine coupled to the frame and a steering assembly pivotably coupled to the steering head. The steering assembly includes a fork and a front wheel rotatably coupled to the fork. The motorcycle further includes a swing arm pivotably coupled to the rearward portion, a rear wheel rotatably coupled to the swing arm, and a first cavity defined in the frame. The first cavity is in fluid communication with the engine to provide fuel to the engine. The motorcycle also includes a second cavity defined in the frame. The second cavity is in fluid communication with the engine to provide combustion air to the engine.

Abstract: The data mining platform comprises a plurality of system modules, each formed from a plurality of components. Each module has an input data component, a data analysis engine for processing the input data, an output data component for outputting the results of the data analysis, and a web server to access and monitor the other modules within the unit and to provide communication to other units. Each module processes a different type of data, for example, a first module processes microarray (gene expression) data while a second module processes biomedical literature on the Internet for information supporting relationships between genes and diseases and gene functionality. In the preferred embodiment, the data analysis engine is a kernel-based learning machine, and in particular, one or more support vector machines (SVMs).

Abstract: A group of features that has been identified as “significant” in being able to separate data into classes is evaluated using a support vector machine which separates the dataset into classes one feature at a time. After separation, an extremal margin value is assigned to each feature based on the distance between the lowest feature value in the first class and the highest feature value in the second class. Separately, extremal margin values are calculated for a normal distribution within a large number of randomly drawn example sets for the two classes to determine the number of examples within the normal distribution that would have a specified extremal margin value. Using p-values calculated for the normal distribution, a desired p-value is selected. The specified extremal margin value corresponding to the selected p-value is compared to the calculated extremal margin values for the group of features.