Abstract: A surgical device comprising: a closure assembly including: (a) a movement unit configured to be connected to a movable member, the movement unit including: (i) one or more bars; (ii) one or more bar biasing members in communication with the movement unit and moving the one or more bars; (b) a latch unit configured to be connected to a ground member, the latch unit including: (i) one or more hook latches that selectively receive the one or more bars, and (ii) one or more latch biasing members in communication with the one or more hook latches to selectively move the one or more hook latches; wherein all or a portion of the latch unit is movable relative to the ground member and all or a portion of the movement unit is movable relative to the movable member, and the latch unit and the movement unit are movable relative to each other when the latch unit and the movement unit are in contact.

Abstract: An insert for an EPR probehead is disclosed. The insert comprises a directional coupler and an amplifier. The directional coupler receives microwave power from a source at a first port and transfers a portion of the received microwave power to a second port for transmission to a sample space. The directional coupler is also arranged to receive a microwave signal from the sample space at the second port and to pass the majority of the received microwave signal to a third port. The amplifier has an input and an output; the input is arranged to receive the microwave signal from the third port of the directional coupler and to produce an amplified version of the received microwave signal at the output for transmission to a detector.

Abstract: A vegetable knife includes a pulverizing coring pin for pulverizing a core of a vegetable, where the pulverizing coring pin can be a generally cylindrical tube. The pulverizing coring pin can define one or more pulverizing tubes that extend from a first end of the pulverizing coring pin to a second end of the pulverizing coring pin opposite the first end. The vegetable knife also includes at least one vegetable shaping blade that extends radially outwardly from the pulverizing coring pin, where the at least one vegetable shaping blade supports the pulverizing coring pin at a location generally central with respect to the vegetable knife. The vegetable knife may also include an outer flange for coupling the vegetable knife to a rotatable cutting assembly. The vegetable shaping blade can be connected between the outer flange and the pulverizing coring pin for supporting the pulverizing coring pin.

Abstract: A vegetable knife includes a pulverizing coring pin for pulverizing a core of a vegetable, where the pulverizing coring pin can be a generally cylindrical tube. The pulverizing coring pin can define one or more pulverizing tubes that extend from a first end of the pulverizing coring pin to a second end of the pulverizing coring pin opposite the first end. The vegetable knife also includes at least one vegetable shaping blade that extends radially outwardly from the pulverizing coring pin, where the at least one vegetable shaping blade supports the pulverizing coring pin at a location generally central with respect to the vegetable knife. The vegetable knife may also include an outer flange for coupling the vegetable knife to a rotatable cutting assembly. The vegetable shaping blade can be connected between the outer flange and the pulverizing coring pin for supporting the pulverizing coring pin.

Abstract: Techniques are described for integrating predictive models into applications, to enable the applications to provide predictive functionality. Using the framework according to implementations, predictive models and their supporting libraries may be incorporated into applications without requiring application developers to be knowledgeable regarding the particular features of the predictive models and/or libraries. The framework exposes a common and consistent application programming interface (API) on top of the predictive libraries. Applications can use the API to interact with the predictive models, thus enabling the applications to leverage predictive functionality. Implementations also provide an API which may be used by applications to request the retraining of predictive models.

Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes modeling signals of wireless signal emitters. A computing device can determine first and second trained Gaussian processes. The respective first and second Gaussian processes can be based on first and second hyperparameter values related to first and second wireless signal emitters. The computing device can determine first and second sets of comparison hyperparameter values of the respective first and second hyperparameter values, and then determine whether the first and second sets of comparison hyperparameter values are within one or more threshold values.

Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on trained Gaussian processes. A computing device can determine trained Gaussian processes related to wireless network signal strengths, where a particular trained Gaussian process is associated with one or more hyperparameters. The computing device can designate one or more hyperparameters. The computing device can determine a hyperparameter histogram for values of the designated hyperparameters of the trained Gaussian processes. The computing device can determine a candidate Gaussian process associated with one or more candidate hyperparameter value for the designated hyperparameters. The computing device can determine whether the candidate hyperparameter values are valid based on the hyperparameter histogram. The computing device can, after determining that the candidate hyperparameter values are valid, add the candidate Gaussian process to the trained Gaussian processes.

Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on measurement bins (MBs) determined by a computing device. An MB can be associated with a wireless signal emitter (WSE), and can include a mean signal strength value (SSV) and a standard deviation of SSVs for each WSE associated with the MB. The computing device can designate a WSE. The computing device can determine a collection of the MBs associated with the designated WSE. The computing device can train a mean Gaussian process for the designated WSE based on the mean SSV and the standard deviation of SSVs of the collection of MBs. The mean Gaussian process can be associated with a covariance matrix having a diagonal entry based on a standard deviation of SSVs of an MB in the collection of MBs. The computing device can provide an estimated location based on the trained mean Gaussian process.

Abstract: A method of making generally symmetrical lamination stacks for electrical machines comprises producing generally symmetrical pole tips from alternating asymmetrical pieces that each have an additional layer in the asymmetrical portion. With the alternating asymmetrical pieces combined, the resulting pole tip is generally symmetrical with a larger possible pole tip width compared with currently-used interleaved stamping techniques.

Abstract: A method for use in analysing time sense data, the method including determining a relationship coefficient between each pair of a plurality of data sets, each data set being indicative of variable values of a corresponding variable over time, and the relationship coefficient being indicative of a degree of relatedness between the pair of data sets, displaying a first representation including first nodes indicative of first data sets, the first data sets being selected ones of the data sets, determining selection of at least two second data sets from the first data sets and displaying a second representation, the second representation including an animation over time of a second node, the second node being animated based on the variable values for the second data sets.

Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on signal strength measurements. A computing device can receive a particular signal strength measurement, which can include a wireless-signal-emitter (WSE) identifier and a signal strength value and can be associated with a measurement location. The computing device can determine one or more bins; each bin including statistics for WSEs and associated with a bin location. The statistics can include mean and standard deviation values. The computing device can: determine a particular bin whose bin location is associated with the measurement location for the particular signal strength measurement, determine particular statistics of the particular bin associated with a wireless signal emitter identified by the WSE identifier of the particular signal strength measurement, and update the particular statistics based on the signal strength value. The computing device can provide an estimated location output based on the bins.

Abstract: A magnet element (37) and a method of its manufacture for assembly into a rotor (38), the magnet element (37) having magnetic domains aligned anisotropically to form a domain alignment pattern (42), wherein the magnetic domain alignment pattern (42) in the magnet element (37) has an orientation that varies substantially continuously across at least part of the magnet element (37) between its lateral edges from at least partially radial to at least partially tangential.

Abstract: An automated protective enclosure for upland game birds is disclosed, where the enclosure includes a unidirectional entry and a mechanical exit that is selective controlled by a controller. By allowing the birds to enter the enclosure and be selectively released based on time or other criteria, the birds can be protected during vulnerable times, therefore increasing their chances for survival while allowing them to acclimate to the wild. Additional optional features for the enclosure include an electronic call for attracting the birds, food and water dispensers with sensors for detecting low-levels, an entry sensor for detecting birds entering the enclosure, temperature sensing and adjusting devices, and a camera for capturing images of birds or other animals entering or proximate the enclosure.

Abstract: Disclosed are apparatus and methods for providing outputs; e.g., location estimates, based on measurement bins (MBs) determined by a computing device. An MB can be associated with a wireless signal emitter (WSE), and can include a mean signal strength value (SSV) and a standard deviation of SSVs for each WSE associated with the MB. The computing device can designate a WSE. The computing device can determine a collection of the MBs associated with the designated WSE. The computing device can train a mean Gaussian process for the designated WSE based on the mean SSV and the standard deviation of SSVs of the collection of MBs. The mean Gaussian process can be associated with a covariance matrix having a diagonal entry based on a standard deviation of SSVs of an MB in the collection of MBs. The computing device can provide an estimated location based on the trained mean Gaussian process.