Abstract: Disclosed are a super-resolution imaging system (1, 41, 51), a super-resolution imaging method, a biological sample identification system (4, 61) and method, a nucleic acid sequencing imaging system (5) and method, and a nucleic acid identification system (6) and method. The super-resolution imaging system (1, 41, 51) includes an illumination system (A) and an imaging system (B). The illumination system (A) outputs excitation light to irradiate a biological sample to generate excited light, and the imaging system (B) collects and records the excited light to generate an excited light image. The illumination system (A) includes an excitation light source (10, 10a) and a structured light generation and modulation device (11, 11a). The excitation light source (10, 10a) outputs the excitation light, and the structured light generation and modulation device (11, 11a) modulates the excitation light into structured light to irradiate the biological sample to generate the excited light.

Abstract: A gene sequencing reaction device, a gene sequencing system and a gene sequencing reaction method. The gene sequencing reaction device includes: a supporting platform; a dipping container disposed on the supporting platform, wherein the dipping container has a dipping reaction area, and the dipping reaction area is configured to hold a chemical reagent for gene sequencing reaction, so as to dip a sequencing chip having a DNA sample loading structure on the surface and having a DNA sample loaded thereon in the chemical reagent to perform a gene sequencing reaction; a temperature control apparatus, configured to control the temperature of the chemical reagent in the dipping reaction area; and a transfer apparatus, configured to insert the sequencing chip into the dipping reaction area or pull out the sequencing chip from the dipping reaction area.

Abstract: A method, computer system, and computer program product for processing a media content is provided. The present invention may include receiving a request from a user to render a media content, identifying one or more features of the media content, obtaining a profile of the user, and generating a progressive rendering plan for the media content, based on the user's profile and the one or more features of the media content.

Abstract: A method, computer system, and computer program product for processing a media content is provided. The present invention may include receiving a request from a user to render a media content, identifying one or more features of the media content, obtaining a profile of the user, and generating a progressive rendering plan for the media content, based on the user's profile and the one or more features of the media content.

Abstract: Approaches presented herein enable optimizing a display of tabular data from a 2-D table as a folding 3-D table having a plurality of vectors in a GUI. More specifically, a scaling ratio is calculated to fit the plurality of vectors within a display area of the GUI based on a cumulative width of the plurality of vectors and a width of the display area of the GUI. A maximum angle of rotation for at least one vector is calculated based on a legibility of the vector. The scaling ratio can be applied to a width of at least one vector to yield a modified width of the vector. The 2-D table is then rendered as a 3-D table in which the at least one vector is depicted as a modified vector angled within a maximum angle of rotation between a horizontal and a vertical axis.

Abstract: Approaches presented herein enable optimizing a display of tabular data from a 2-D table as a folding 3-D table having a plurality of vectors in a GUI. More specifically, a scaling ratio is calculated to fit the plurality of vectors within a display area of the GUI based on a cumulative width of the plurality of vectors and a width of the display area of the GUI. A maximum angle of rotation for at least one vector is calculated based on a legibility of the vector. The scaling ratio can be applied to a width of at least one vector to yield a modified width of the vector. The 2-D table is then rendered as a 3-D table in which the at least one vector is depicted as a modified vector angled within a maximum angle of rotation between a horizontal and a vertical axis.

Abstract: Approaches presented herein enable optimizing a display of tabular data from a 2-D table as a folding 3-D table having a plurality of vectors in a GUI. More specifically, a scaling ratio is calculated to fit the plurality of vectors within a display area of the GUI based on a cumulative width of the plurality of vectors and a width of the display area of the GUI. This scaling ratio is applied to a width of at least one vector to yield a modified width of the vector. The 2-D table is then rendered as a 3-D table in which the at least one vector is depicted as a modified vector angled between a horizontal and a vertical axis. This modified vector has an actual width equal to the modified width and a diagonal length equal to the width of the at least one vector.

Abstract: Approaches presented herein enable optimizing a display of tabular data from a 2-D table as a folding 3-D table having a plurality of vectors in a GUI. More specifically, a scaling ratio is calculated to fit the plurality of vectors within a display area of the GUI based on a cumulative width of the plurality of vectors and a width of the display area of the GUI. This scaling ratio is applied to a width of at least one vector to yield a modified width of the vector. The 2-D table is then rendered as a 3-D table in which the at least one vector is depicted as a modified vector angled between a horizontal and a vertical axis. This modified vector has an actual width equal to the modified width and a diagonal length equal to the width of the at least one vector.

Abstract: Approaches presented herein enable optimizing a display of tabular data from a 2-D table as a folding 3-D table having a plurality of vectors in a GUI. More specifically, a scaling ratio is calculated to fit the plurality of vectors within a display area of the GUI based on a cumulative width of the plurality of vectors and a width of the display area of the GUI. This scaling ratio is applied to a width of at least one vector to yield a modified width of the vector. The 2-D table is then rendered as a 3-D table in which the at least one vector is depicted as a modified vector angled between a horizontal and a vertical axis. This modified vector has an actual width equal to the modified width and a diagonal length equal to the width of the at least one vector.

Abstract: Approaches presented herein enable optimizing a display of tabular data from a 2-D table as a folding 3-D table having a plurality of vectors in a GUI. More specifically, a scaling ratio is calculated to fit the plurality of vectors within a display area of the GUI based on a cumulative width of the plurality of vectors and a width of the display area of the GUI. This scaling ratio is applied to a width of at least one vector to yield a modified width of the vector. The 2-D table is then rendered as a 3-D table in which the at least one vector is depicted as a modified vector angled between a horizontal and a vertical axis. This modified vector has an actual width equal to the modified width and a diagonal length equal to the width of the at least one vector.

Abstract: A computer-implemented method includes receiving a data stream, the data stream including one or more driving factors. The computer-implemented method further includes comparing the one or more driving factors to one or more known driving factors to identify a driving scenario. The computer-implemented method further includes monitoring the driving scenario for a risk. Monitoring the driving scenario for a risk further includes detecting the risk. The computer-implemented method further includes generating an intervention, wherein the intervention is generated based on detecting the risk for the driving scenario. A corresponding computer system and computer program product are also disclosed.

Abstract: A computer-implemented method includes receiving a data stream, the data stream including one or more driving factors. The computer-implemented method further includes comparing the one or more driving factors to one or more known driving factors to identify a driving scenario. The computer-implemented method further includes monitoring the driving scenario for a risk. Monitoring the driving scenario for a risk further includes detecting the risk. The computer-implemented method further includes generating an intervention, wherein the intervention is generated based on detecting the risk for the driving scenario. A corresponding computer system and computer program product are also disclosed.

Abstract: A computer-implemented method includes receiving a data stream, the data stream including one or more driving factors. The computer-implemented method further includes comparing the one or more driving factors to one or more known driving factors to identify a driving scenario. The computer-implemented method further includes monitoring the driving scenario for a risk. Monitoring the driving scenario for a risk further includes detecting the risk. The computer-implemented method further includes generating an intervention, wherein the intervention is generated based on detecting the risk for the driving scenario. A corresponding computer system and computer program product are also disclosed.

Abstract: One or more processors determine a common interest associated with a group of individuals based, at least in part, on one or more interests associated with individuals within the group of individuals. One or more processors determine a video output to display to the group of individuals. The video output is anticipated to appeal to at least a portion of the group of individuals based, at least in part, on the common interest associated with the group of individuals. One or more processors display the video output to the group of individuals.

Abstract: One or more processors determine a common interest associated with a group of individuals based, at least in part, on one or more interests associated with individuals within the group of individuals. One or more processors determine a video output to display to the group of individuals. The video output is anticipated to appeal to at least a portion of the group of individuals based, at least in part, on the common interest associated with the group of individuals. One or more processors display the video output to the group of individuals.

Abstract: A method for enhancing an ultrasound image is provided, wherein the ultrasound image is segmented into a feature region and a non-feature region, while sufficiently utilizing features contained in the ultrasound image, in particular including some inconspicuous features. the enhanced image according to present invention is not susceptive of the image segmentation and avoid dependence of the enhancement effect on the segmentation template, so as not to produce an evident artificial boundary between the feature region and the non-feature region but to highlight some special information in the image and to remove or mitigate invalid information. Thus the enhanced ultrasound image is particularly suitable for the visual system of the human beings.

Abstract: A method for enhancing an ultrasound image is provided, wherein the ultrasound image is segmented into a feature region and a non-feature region, while sufficiently utilizing features contained in the ultrasound image, in particular including some inconspicuous features. the enhanced image according to present invention is not susceptive of the image segmentation and avoid dependence of the enhancement effect on the segmentation template, so as not to produce an evident artificial boundary between the feature region and the non-feature region but to highlight some special information in the image and to remove or mitigate invalid information. Thus the enhanced ultrasound image is particularly suitable for the visual system of the human beings.

Abstract: A method for enhancing an ultrasound image is provided, wherein the ultrasound image is segmented into a feature region and a non-feature region, while sufficiently utilizing features contained in the ultrasound image, in particular including some inconspicuous features, the enhanced image according to present invention is not susceptive of the image segmentation and avoid dependence of the enhancement effect on the segmentation template, so as not to produce an evident artificial boundary between the feature region and the non-feature region but to highlight some special information in the image and to remove or mitigate invalid information. Thus the enhanced ultrasound image is particularly suitable for the visual system of the human beings.

Abstract: The present invention discloses a method of volume-panorama imaging processing, which generates a volume-panorama image by subsequently splicing respective image frames from an image sequence obtained in a real-time way or stored in a medium based upon the fact that the immediately adjacent image frames have the largest correlation. The method comprises the steps of: reading the image sequence, and firstly initializing an aligned image and a spliced image; dividing the i-th image frame Fi into a plurality of sub-regions; calculating a motion vector of the i-t image frame with respect to the aligned image; fitting the motion vector to calculate a transform coefficient; splicing the Fi to the current spliced image based upon the transform coefficient, and updating the aligned image; entering into a self-adaptive selection of a next image frame until the end of the splicing; and outputting the current spliced image as a resultant image.

Abstract: A method for enhancing an ultrasound image is provided, wherein the ultrasound image is segmented into a feature region and a non-feature region, while sufficiently utilizing features contained in the ultrasound image, in particular including some inconspicuous features. The enhanced image according to present invention is not susceptive of the image segmentation and avoid dependence of the enhancement effect on the segmentation template, so as not to produce an evident artificial boundary between the feature region and the non-feature region but to highlight some special information in the image and to remove or mitigate invalid information. Thus the enhanced ultrasound image is particularly suitable for the visual system of the human beings.