Abstract: Three-dimensional (3D) hollow nanosphere electrocatalysts that convert CO2 into formate with high current density and Faradaic efficiency (FE). The SnO2 nanospheres were constructed from small, interconnected SnO2 nanocrystals. The size of the constituent SnO2 nanocrystals was controlled between 2-10 nm by varying the calcination temperature and observed a clear correlation between nanocrystal size and formate production. In situ Raman and time-dependent X-ray diffraction measurements confirmed that SnO2 nanocrystals were reduced to metallic Sn and resisted microparticle agglomeration during CO2 reduction. The nanosphere catalysts outperformed comparably sized, non-structured SnO2 nanoparticles and commercially-available SnO2 with a heterogeneous size distribution.

Abstract: A method for producing a nucleic acid library. The method includes: preparing, by a phage display method, a first library composed of mutants obtained by randomly introducing a mutation into a nucleic acid sequence encoding a protein bound to or configured to be bound to a target; performing biopanning on the first library and obtaining data to be used for machine learning from an obtained sublibrary; and performing machine learning using the data and obtaining a second library from the first library based on machine learning prediction. The data to be used for machine learning includes a sequence of a mutant population included in a sublibrary at a target-binding sequence elution stage, an estimated binding strength to the target, and an actual measurement value of binding of some mutants included in the mutant population to the target.

Abstract: An algorithm for selecting a new suitable AP for STAs in a mesh network and a method for exchanging data between APs built according to the IEEE 1905.1 standard. The active search helps reduce the latency when STAs move in the coverage area of the mesh network, ensuring service performance and maintaining stable connections. The vender message are specifically defined to ensure that the roaming process is not interrupted and that the service remains stable during the transition.

Abstract: The description relates to cameras, and camera calibration for enhancing user experiences. One example can receive a first image of a user at a first location relative to a camera. The first image can include the user's upper body but does not include the user from head to toe. The example can receive a second image of the user at a second location relative to a camera. The second image can include the user's upper body but does not include the user from head to toe. The example can estimate a distance of the second location from the first location relative to the camera and calibrate a height and tilt angle of the camera from the first image, the second image, and the estimated distance and without a full body image of the user.

Abstract: The description relates to cameras, and camera calibration for enhancing user experiences. One example can receive a first image of a user at a first location relative to a camera. The first image can include the user's upper body but does not include the user from head to toe. The example can receive a second image of the user at a second location relative to a camera. The second image can include the user's upper body but does not include the user from head to toe. The example can estimate a distance of the second location from the first location relative to the camera and calibrate a height and tilt angle of the camera from the first image, the second image, and the estimated distance and without a full body image of the user.

Abstract: There is provided an apparatus for generating a training data. The apparatus comprises a memory storing instructions; and a processor executing the instructions, wherein the instructions, when executed by the processor, cause the processor to: prepare 3D graphic road environment data required for rendering of 3D graphic road environment including a road and at least one object moving on the road, and set a photographing environment of a camera capturing the road and the at least one object moving on the road within the rendered 3D graphic road environment, generate a virtual captured image obtained by capturing the road and the at least one object moving on the road in the 3D graphic road environment based on information on the photographing environment of the camera, and extract training ground truth data from the virtual captured image to generate the training data including the virtual captured image and the training ground truth data.

Abstract: A buffer material includes a body portion that has two wall portions forming an accommodation space for accommodating an accommodation target object to be accommodated inside a box, an opening and closing portion that is provided on one wall portion of the two wall portions of the body portion, and is movable between a closed state where the accommodation space is closed and an open state where the accommodation space is open, and an opening restriction portion that restricts the opening and closing portion in the open state from moving to the closed state of the opening and closing portion.

Abstract: There is provided a device for controlling an automatic checkout system. The device comprises a storage medium configured to store a product detection model trained based on training images in which parameters of a plurality of sample images are manipulated and one or more commands; and a processor configured to execute the one or more commands stored in the storage medium, wherein the instructions, when executed by the processor, cause the processor to: sequentially load a plurality of frame images, input the plurality of loaded frame images into the product detection model, detect at least one product from each of the plurality of frame images, track at least one product detected in each frame image, and count at least one product detected based on a tracking result.

Abstract: Access point identifiers that are associated with a common location are grouped into sets of three and stored in a document in a database. When the location of a device is required, the access points that it detects are searched for in the database. If a matching set of three access points are found in the database, then the corresponding location is retrieved from the document in which the three access points are found.

Abstract: An apparatus for culturing muscle tissue comprises a chamber extending from a first end to a second end; a first anchor located within the chamber at the first end; a second anchor located within the chamber at the second end; an inlet; and an outlet. The chamber can have an expanding or cylindrical cross-section from each of the first end and the second end to a point between the first end and the second end. The first and second anchors are three-dimensional.

Abstract: The invention offers an ultracapacitor-based power system solution with four main functional blocks which are power conditioning block, monitoring block, charge-discharge block and protection block. The proposed system has the advantage of working well in the environment of vibration, high temperature, has a large capacity to provide a large amount and radiates less heat compared to systems using traditional batteries. In addition, the system has functions to protect and stabilize the output voltage, and the operating parameters of the system is monitored continuously.

Abstract: Systems and methods for predicting object motion and controlling autonomous vehicles are provided. In one example embodiment, a computer implemented method includes obtaining state data indicative of at least a current or a past state of an object that is within a surrounding environment of an autonomous vehicle. The method includes obtaining data associated with a geographic area in which the object is located. The method includes generating a combined data set associated with the object based at least in part on a fusion of the state data and the data associated with the geographic area in which the object is located. The method includes obtaining data indicative of a machine-learned model. The method includes inputting the combined data set into the machine-learned model. The method includes receiving an output from the machine-learned model. The output can be indicative of a plurality of predicted trajectories of the object.

Abstract: A method of predicting traffic information includes receiving a road image photographed by a vehicle that is moved on a road, and detecting an object for the vehicle from a plurality of frames included in the road image; tracking the object detected in the plurality of frames; checking a movement trajectory of the tracked object, and checking a movement direction corresponding to the movement trajectory of the object; and checking a number of vehicles for each movement direction on the basis of the checked movement direction.

Abstract: S-doped SnO2 nanoparticles are synthesized by a solid-state process where thermal vaporization of sulfur powder under inert atmosphere to partially sulfurize the SnO2 nanoparticles. In the catalyst, the sulfur concentration is between 0.1 to 2 at%. A catalyst ink can be prepared from the catalyst containing: a liquid carrier; conductive particles; optionally an ionomer, and the catalyst. A gas diffusion electrode comprising the S-SnO2 catalyst dispersed onto a carbon paper electrode is also described.

Abstract: The description relates to cameras, and camera calibration for enhancing user experiences. One example can receive a first image of a user at a first location relative to a camera. The first image can include the user's upper body but does not include the user from head to toe. The example can receive a second image of the user at a second location relative to a camera. The second image can include the user's upper body but does not include the user from head to toe. The example can estimate a distance of the second location from the first location relative to the camera and calibrate a height and tilt angle of the camera from the first image, the second image, and the estimated distance and without a full body image of the user.

Abstract: The present disclosure provides hierarchical CuO-derived inverse opal (CuO—IO) electrocatalyst compositions, their synthesis, and their application to selectively convert CO2 into carbon monoxide (CO). The electrocatalyst compositions have a three-dimensional interconnected CuO backbone in hexagonal arrangement. In one embodiment, the compositions have an inverse structure of poly (methyl methacrylate) (PMMA) latex opal. In one embodiment, the electrocatalyst composition inverse-opal structure is comprised of copper-oxide nanoparticles having an average mean diameter ranging from about 15 to about 20 nm. In another embodiment, the compositions have an average cavity size of 175 to 185 nm.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with the motion prediction and operation of a device including a vehicle are provided. For example, a vehicle computing system can access state data including information associated with locations and characteristics of objects over a plurality of time intervals. Trajectories of the objects at subsequent time intervals following the plurality of time intervals can be determined based on the state data and a machine-learned tracking and kinematics model. The trajectories of the objects can include predicted locations of the objects at subsequent time intervals that follow the plurality of time intervals. Further, the predicted locations of the objects can be based on physical constraints of the objects. Furthermore, indications, which can include visual indications, can be generated based on the predicted locations of the objects at the subsequent time intervals.

Abstract: A composition having: 91% to 97% by weight a first component; and 3% to 9% by weight of a second component, the first component having one, two, or three of the following chlorinated-hydrocarbon subcomponents: the first chlorinated-hydrocarbon subcomponent being a plurality of chlorinated hydrocarbons that range from 35% to 45% by weight chlorine, the second chlorinated-hydrocarbon subcomponent being a plurality of chlorinated hydrocarbons that range from 45% to 55% by weight chlorine, and the third chlorinated-hydrocarbon subcomponent being a plurality of chlorinated hydrocarbons that range from 55% to 65% by weight chlorine, the second component being ethoxylated castor oil, calcium alkylbenzene sulfonate, or a combination thereof.

Abstract: Three-dimensional (3D) hollow nanosphere electrocatalysts that convert CO2 into formate with high current density and Faradaic efficiency (FE). The SnO2 nanospheres were constructed from small, interconnected SnO2 nanocrystals. The size of the constituent SnO2 nanocrystals was controlled between 2-10 nm by varying the calcination temperature and observed a clear correlation between nanocrystal size and formate production. In situ Raman and time-dependent X-ray diffraction measurements confirmed that SnO2 nanocrystals were reduced to metallic Sn and resisted microparticle agglomeration during CO2 reduction. The nanosphere catalysts outperformed comparably sized, non-structured SnO2 nanoparticles and commercially-available SnO2 with a heterogeneous size distribution.

Abstract: The present invention provides for a liver tissue model construct composed of biomaterials and cells, to be used for scientific research within in the 3D liver tissue modelling field. The applications of said tissue model construct can be specific for pharmaceutical evaluations and/or discoveries, regenerative medicine investigations, tissue engineering developments, and liver physiology and/or pathology.