Abstract: A hyperspectral characteristic band selection method and an active hyperspectral imaging device using the same. The method using a virtual dimension algorithm to calculate a number of endmembers of a hyperspectral image of a predetermined disease, and using between 1 time and 2 times the number of endmembers as a number of predetermined selected bands, and then selecting characteristic bands with a number matching the number of selected bands from a plurality of spectral bands in the image. The device comprises a base, light sources and a sensing portion, the light sources are respectively disposed on the base, bands emitted by the light sources are configured according to the characteristic bands calculated by the method. The sensing portion is disposed on the base and spaced apart from the light sources for receiving reflected light from an external target object irradiated by the light sources to obtain a hyperspectral image.

Abstract: An electronic package is provided, in which a plurality of electronic elements are disposed on a plurality of carrier structures, and at least one bridging element is disposed between at least two of the carrier structures to electrically bridge the two carrier structures. Therefore, when there is a need to increase the function of the electronic package, only one electronic element is arranged on a single carrier structure, and there is no need to increase the panel area of the carrier structure, so as to facilitate the control of the panel area of the carrier structure and avoid warpage of the carrier structure due to the oversized panel.

Abstract: An electronic package is provided in which a chip packaging module, an electronic element having a plurality of contacts, and an electronic connector are disposed on a routing structure of a carrier component, so as to communicatively connect with the chip packaging module via the electronic element and the electronic connector, thereby increasing a signal transmission speed.

Abstract: An electronic package is provided, in which an electronic module and at least one support member are disposed on a substrate structure having a circuit layer, such that the stress on the substrate structure is dispersed through the at least one support member to eliminate the problem of stress concentration and prevent the substrate structure from warping.

Abstract: Photobiomodulation can be used to treat disorders of the gastrointestinal system. The photobiomodulation can be delivered by an intraluminal device (which can be within the gastrointestinal system) that includes at least one light delivery device configured to provide photobiomodulation; at least one photodetector device to measure reflectance based on the photobiomodulation; a processor to receive a reflectance signal from the at least one photodetector device based on the reflectance measured by the at least one photodetector device and process the reflectance signal; and a wireless transceiver coupled to the processor to transmit at least a portion of the processed reflectance signal. The wireless transceiver can communicate with an external device that includes a wireless transceiver to receive the at least the portion of the processed reflectance signal.

Abstract: In some embodiments, the present disclosure relates to a single-photon avalanche detector (SPAD) device including a silicon substrate including a recess in an upper surface of the silicon substrate. A p-type region is arranged in the silicon substrate below a lower surface of the recess. An n-type avalanche region is arranged in the silicon substrate below the p-type region and meets the p-type region at a p-n junction. A germanium region is disposed within the recess over the p-n junction.

Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

Abstract: Described herein are an extract from lettuce (Lactuca sativa), in particular of stalk lettuce (Lactuca sativa var. angustana), including 2-acetyl-1-pyrroline and, optionally, precursors of 2-acetyl-1-pyrroline as well as flavoring compositions including such an extract and a method for the preparation of such an extract. Also described herein are the use of such an extract as a taste or flavor ingredient in a consumer product and a method of enhancing, improving, modifying the taste or flavor of a consumer product by making use of such an extract.

Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

Abstract: The present disclosure relates generally to terpene glycosides, such as certain such compounds extracted from Stevia rebaudiana Bertoni, Rubus suavissimus, or Siraitia grosvenorii. The disclosure also provides for the use of such compounds as food ingredients, flavors, and sweeteners, and related methods. The disclosure also provides ingestible compositions comprising such compounds, as well as processes for extracting such compounds selectively from certain plant sources.

Abstract: A method and system for generating a three-dimensional (3D) virtual scene are disclosed. The method includes: identifying a two-dimensional (2D) object in a 2D picture and the position of the 2D object in the 2D picture; obtaining the three-dimensional model of the 3D object corresponding to the 2D object; calculating the corresponding position of the 3D object corresponding to the 2D object in the horizontal plane of the 3D scene according to the position of the 2D object in the picture; and simulating the falling of the model of the 3D object onto the 3D scene from a predetermined height above the 3D scene, wherein the position of the landing point the model of the 3D object in the horizontal plane is the corresponding position of the 3D object in the horizontal plane of the 3D scene.

Abstract: Systems and devices to perform knowledge-driven dynamic conversations and select content within automated agents such as chatbots and virtual assistants are disclosed. In an example, operations to facilitate a knowledge-based conversation session with a human user using an automated agent include: receiving a conversational input regarding a support issue; analyzing the conversational input to determine an intent and applicable entity properties associated with the intent; performing a multi-turn conversation to identify a solution using the intent and the applicable entity properties, by exchanging iterative questions and answers between the automated agent and the user to dynamically recalculate applicability of the solution to the support issue; and outputting information associated with the identified solution.

Abstract: A system for training and deploying an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a memory storing machine readable instructions. The system may also comprise a processor to execute the machine readable instructions to receive a request via an artificial conversational entity. The processor may also transmit a response to the request based on a dialog tree generated from at least a model-based action generator and a memory-based action generator. The processor may further provide a training option to a user in the event the response is suboptimal. The processor may additionally receive a selection from the user via the training option. The selection may be associated with an optimal response.

Abstract: Technologies described herein relate to receiving data from a social networking application, wherein the data is generated by a first individual, and executing an entity extraction algorithm to extract at least one entity from the received data. A hyperlink is displayed on a computing device utilized by a second individual, wherein the hyperlink is based at least in part upon the at least one entity, and the hyperlink is configured to direct the first individual to a search engine and is further configured to cause the search engine to execute a search that pertains to the at least one entity.

Abstract: A system for training and deploying an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a memory storing machine readable instructions. The system may also comprise a processor to execute the machine readable instructions to receive a request via an artificial conversational entity. The processor may also transmit a response to the request based on a dialog tree generated from at least a model-based action generator and a memory-based action generator. The processor may further provide a training option to a user in the event the response is suboptimal. The processor may additionally receive a selection from the user via the training option. The selection may be associated with an optimal response.

Abstract: Systems and devices to perform knowledge-driven dynamic conversations and select content within automated agents such as chatbots and virtual assistants are disclosed. In an example, operations to facilitate a knowledge-based conversation session with a human user using an automated agent include: receiving a conversational input regarding a support issue; analyzing the conversational input to determine an intent and applicable entity properties associated with the intent; performing a multi-turn conversation to identify a solution using the intent and the applicable entity properties, by exchanging iterative questions and answers between the automated agent and the user to dynamically recalculate applicability of the solution to the support issue; and outputting information associated with the identified solution.

Abstract: Systems and devices to perform content authoring and establish conversation models for automated agents such as chatbots and virtual assistants are disclosed. In an example, operations for content authoring, to produce a conversation model, include: identifying respective intents from conversation segments in an unstructured data source; generating a knowledge graph of the conversation model to organize the identified intents; linking the intents in the knowledge graph to properties of the respective conversations, for properties used to guide a subject conversation with the conversation model; and outputting the conversation model, to be usable with the automated agent to conduct the subject conversation with a human user.

Abstract: Various technologies pertaining to exploratory suggestions are described herein. A computer-implemented graph is constructed, where the graph includes nodes that are representative of aspects and edges that are representative of associations between aspects. An aspect is representative of a sub-topic of a topic or a sub-task of a task. The computer-implemented graph is learned based upon content of search logs, and is used to output exploratory suggestions, where a user is exploring a topic or attempting to complete a multi-step task.

Abstract: Managing software performance debugging based on a distributed VM system is provided. In response to determining a debugging state of a software system running on a VM, a timing of a system clock of the VM is controlled. A data packet sent to the VM from another VM is intercepted, and an added system time and reference time that indicate when the packet was sent by the other VM is extracted from the packet. Based on the system and reference times, as well as a reference time of when the packet is intercepted, a timing at which the packet is expected to be received by the VM is calculated. The packet is forwarded to the VM as a function of a comparison of the timing at which the packet is expected to be received and a system time of the VM when the packet is intercepted.