Abstract: Disclosed is an equivalent acceleration method of creep loads based on a consistent failure mode. The equivalent acceleration method includes obtaining corresponding tensile strengths; obtaining corresponding creep rupture time; establishing rupture time law, minimum creep rate law and rupture strain law; calculating the value of parameter p in creep damage accumulation model; and dividing the failure mode consistency interval of creep load under variable temperature and variable load. The damage caused by the creep load in the failure mode consistency interval is calculated by using the multi-grade variable temperature and variable load creep nonlinear damage accumulation model, the damage is accelerated to the maximum creep load state in the failure mode consistency interval according to the principle of damage equivalence, and finally the equivalent acceleration of creep load is realized.

Abstract: A multi-degree-of-freedom continuum robot with a flexible target grasping function comprises a driving device module, a trunk simulation module and a nimble finger module. The trunk simulation module is composed of a rotary compression module and a bending compression module. Each module has a unified connection interface reserved at the end, and is combined and assembled according to actual needs. The driving module is arranged on the base of the robot to realize the driving operation of all cables to control the motion of the robot. The rotary compression module can simultaneously generate the motion in the forms of rotation and compression, thereby compensating for the defect of blind angle of the bending compression module. The bending compression module can realize compression deformation and bending deformation of the module independently. The nimble finger module realizes a grasping function by multi-finger collaboration.

Abstract: The present invention discloses a method for breeding a new variety of high-quality Gossypium hirsutum, including breeding a parent Xiang 176 line, breeding parent Xiang 267, crossing and composite-crossing the Xiang 176 line and the Xiang 267 as parents, and obtaining the new variety of high-quality conventional Gossypium hirsutum in their offspring. The plant type of this variety was tower type, with good growth vigor in the seedling stage and the boll opening stage, good uniformity, dense stalk cilia, white anthers, smooth boll opening, stable agronomic traits, high yield, and excellent fiber quality.

Abstract: The present invention provides a hand-held electric tool comprising a housing and an operating component. The housing has a main body section and a grip section extending from the rear side of the main body section, and the front end of the main body section is provided with a mounting interface. The operating component is mounted at the mounting interface of the housing and protrudes from the housing. A chip removal hole is formed in the bottom wall of the main body section of the housing, and a protective portion that extends downwards at least partially is provided at the bottom end at the position where the main body section joins the grip section. The bottom of a hand-held electric tool of the present invention is substantially closed, except for being provided with a chip removal hole, which allows removal of chips while preventing a user's hand from being inadvertently extended into the housing and contacting a component operating at a high speed.

Abstract: Disclosed is a method, a computer readable storage medium and an apparatus for processing medical image data. Input medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system on the input medical image data to identify a volume of interest within which an instance of a predetermined anatomical structure is located. First and second determination processes are performed at the data processing system to determine, respectively, first and second anatomical directions for the instance of the anatomical structure that are defined relative to the coordinate system of the input medical image data. Output data relating to the first and second anatomical directions is output from the data processing system.

Abstract: The present invention provides a handheld electric tool and a motor assembly for a handheld electric tool. The handheld electric tool of the present invention comprises a housing, a working member, a motor and a motor support. The motor support comprises a first part positioned at a far-side end of the motor and fixedly connected to the housing, and a second part extending from the first part into the interior of the motor and fixedly connected to a stator of the motor. The second part is provided with a first through-hole for a rotor shaft of the motor to pass through, and an output end of the rotor shaft extends through the first through-hole and drives the working member to move. The handheld electric tool provided in the present invention can prevent excessive transmission of motor vibration to the housing, and can pump fluid through the motor to cool components in the housing.

Abstract: A method for automatically determining spine deformation from an image showing a number of vertebrae of the spine, comprises: detecting center points of the number of vertebrae shown in the image; constructing a center line based on the center points; computing a local tilt at points along the center line; determining positive and negative tilt-maxima of the local tilt and selecting two reference vertebrae having center points closest to the positive and negative tilt-maxima; segmenting an upper endplate of the cranial reference vertebra; segmenting a lower endplate of the caudal reference vertebra; computing an angle between the upper endplate and the lower endplate; and outputting the angle.

Abstract: An electric tool (20) allowing an external battery pack (26) to detachably connect thereto is disclosed. The electric tool (20) includes a housing and a motor (22) installed in the housing, and in addition the electric tool (20) includes a supporting part fixedly coupled to the housing; and a terminal holder (38). The terminal holder (38) is adapted to contact with terminals on an external battery pack (26) in order to form a consistent electrical connection. The terminal holder (38) is confined by the supporting member (56,58) and in the meantime adapted to move relative to the supporting part. The terminal holder (38) has a hollow shape and is adapted to contact with the support member (56,58) at an exterior surface of the terminal holder (38). As the terminal holder (38) is tightly fitted with the battery pack (26) but at the same time loosely fitted with the tool housing, chances of generating sparks or electric arc between the metal terminals can be minimized.

Abstract: A framework for anatomy-aware adaptation of a graphical user interface. Landmarks are first detected by passing one or more current images through a trained machine learning model. A body section may then be inferred based on the detected landmarks. One or more user interface elements may be determined based on the inferred body section. A graphical user interface may then be adapted with the determined one or more user interface elements.

Abstract: Disclosed is a computer-implemented method for detecting one or more anatomic landmarks in medical image data. In an embodiment, the method includes receiving a medical image data set depicting a body part of a patient; and determining a first set of anatomic landmarks from a first representation of the medical image data set at a first resolution by applying a first trained function to the first representation of the medical image data set. Based on that, a second set of anatomic landmarks is determined from a second representation of the medical image data set at a second resolution, the second resolution being higher than the first resolution, by applying a second trained function different than the first trained function to the second representation of the medical image data set and using the first set of landmarks by the second trained function.

Abstract: Disclosed is a method, a computer readable storage medium and an apparatus for processing medical image data. Input medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system on the input medical image data to identify a volume of interest within which an instance of a predetermined anatomical structure is located. First and second determination processes are performed at the data processing system to determine, respectively, first and second anatomical directions for the instance of the anatomical structure that are defined relative to the coordinate system of the input medical image data. Output data relating to the first and second anatomical directions is output from the data processing system.

Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.

Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.

Abstract: An electric tool (20) allowing an external battery pack (26) to detachably connect thereto is disclosed. The electric tool (20) includes a housing and a motor (22) installed in the housing, and in addition the electric tool (20) includes a supporting part fixedly coupled to the housing; and a terminal holder (38). The terminal holder (38) is adapted to contact with terminals on an external battery pack (26) in order to form a consistent electrical connection. The terminal holder (38) is confined by the supporting member (56,58) and in the meantime adapted to move relative to the supporting part. The terminal holder (38) has a hollow shape and is adapted to contact with the support member (56,58) at an exterior surface of the terminal holder (38). As the terminal holder (38) is tightly fitted with the battery pack (26) but at the same time loosely fitted with the tool housing, chances of generating sparks or electric arc between the metal terminals can be minimized.

Abstract: A framework for anatomy-aware adaptation of a graphical user interface. Landmarks are first detected by passing one or more current images through a trained machine learning model. A body section may then be inferred based on the detected landmarks. One or more user interface elements may be determined based on the inferred body section. A graphical user interface may then be adapted with the determined one or more user interface elements.

Abstract: A method for automatically detecting a region of interest in a digital medical image, comprising over-segmenting the image into a plurality of superpixels through use of an over-segmentation algorithm; for each pair of neighboring superpixels in the plurality of superpixels, computing, through a machine learning algorithm, the probability of each pair being in one of three predetermined classes; for each superpixel in the plurality of superpixels, computing a probability of the superpixel being in the region of interest; generating an edge map from computing each pixel's value based on the computed superpixel probabilities; applying an extended Hough transform to the generated edge map to generate a Hough parameter counting space; determining the optimal quadrilateral in the Hough parameter counting space by excluding false positive edges; and designating the region of interest as being within the boundary of the determined optimal quadrilateral.

Abstract: Example systems, methods, and logic are provided herein for detecting a numerical identifier of an endpoint. In one example, a connectivity manager establishes a wireless communication session with a fixed endpoint using a wireless communication protocol. The connectivity manager module then generates a Phone Book Access Profile (PBAP) request to download a phone number associated with the fixed endpoint. The connectivity manager module receives, via the wireless communication session, a PBAP response comprising a phone number identifying the fixed endpoint and inputs the phone number identifying the fixed endpoint into a field used for initiating a call to the fixed endpoint.

Abstract: A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.

Abstract: A method for automatically detecting a region of interest in a digital medical image, comprising over-segmenting the image into a plurality of superpixels through use of an over-segmentation algorithm; for each pair of neighboring superpixels in the plurality of superpixels, computing, through a machine learning algorithm, the probability of each pair being in one of three predetermined classes; for each superpixel in the plurality of superpixels, computing a probability of the superpixel being in the region of interest; generating an edge map from computing each pixel's value based on the computed superpixel probabilities; applying an extended Hough transform to the generated edge map to generate a Hough parameter counting space; determining the optimal quadrilateral in the Hough parameter counting space by excluding false positive edges; and designating the region of interest as being within the boundary of the determined optimal quadrilateral.

Abstract: A downhole casing expansion tool and a method of expanding casings using the same. The expansion tool includes an expansion module for expanding casings and a drive module for driving the expansion module. The diameter of the openhole can be kept consistent by the expansion tool, so that monohole well drilling and completion operations can be carried out. The expansion tool is particularly suitable for constructions in deep, ultra-deep and complex wells.