Abstract: The present invention discloses a highly reliable positive-to-negative voltage conversion circuit, including a first inverter, a first buffer, a second buffer, a first to seventh NMOS transistors, a first to third PMOS transistors, a first resistor, a second resistor, a third resistor, and a fourth resistor, wherein the third PMOS transistor, the third NMOS transistor, the fourth NMOS transistor, the fifth NMOS transistor, the sixth NMOS transistor and the seventh NMOS transistor form an on/off control circuit, with that a power supply path between a positive-voltage power supply terminal and a negative-voltage power supply terminal is physically isolated by the on/off control circuit to eliminate voltage reversing occurring when the positive-voltage power supply terminal and the negative-voltage power supply terminal cannot be synchronized during power-on.

Abstract: A method for preparing a monodomain liquid crystal elastomer smart fiber incudes: during cross-linking process of the liquid crystal elastomer, drawing of liquid crystal elastomer fibers with uniform diameter from a polymer solution when the viscosity of the cross-linked polymer solution increases to a point where filaments can be drawn; heating by an infrared lamp to form filamentous liquid crystal elastomer fiber; natural air drying to remove excess solvent in the fiber; and stretching and collection of the fiber, followed by placement of the fiber, whereby the monodomain liquid crystal elastomer smart fiber is obtained.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a pull-over location using machine learning. One of the methods includes obtaining data specifying a target pull-over location for an autonomous vehicle travelling on a roadway. A plurality of candidate pull-over locations in a vicinity of the target pull-over location are identified. For each candidate pull-over location, an input that includes features of the candidate pull-over location is processed using a machine learning model to generate a respective likelihood score representing a predicted likelihood that the candidate pull-over location is an optimal location. The features of the candidate pull-over location include one or more features that compare the candidate pull-over location to the target pull-over location. Using the respective likelihood scores, one of the candidate pull-over locations is selected as an actual pull-over location for the autonomous vehicle.

Abstract: Embodiments of the present disclosure provide a natural gas separation device, the device comprising a tank, providing with an air inlet, an exhaust port, and a liquid discharge port; a liquid separation assembly, disposed in the tank and dividing an internal space of the tank into a front separation chamber and a liquid recovery chamber, the liquid separation assembly being provided with a liquid return channel for connecting the front separation chamber and the liquid recovery chamber; and a solid separation assembly, disposed in the front separation chamber and connected to the liquid separation assembly.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a pull-over location using machine learning. One of the methods includes obtaining data specifying a target pull-over location for an autonomous vehicle travelling on a roadway. A plurality of candidate pull-over locations in a vicinity of the target pull-over location are identified. For each candidate pull-over location, an input that includes features of the candidate pull-over location is processed using a machine learning model to generate a respective likelihood score representing a predicted likelihood that the candidate pull-over location is an optimal location. The features of the candidate pull-over location include one or more features that compare the candidate pull-over location to the target pull-over location. Using the respective likelihood scores, one of the candidate pull-over locations is selected as an actual pull-over location for the autonomous vehicle.

Abstract: Applications of different configurations of novel glucagon peptide 1 with fatty acid modification or nonmodification in the treatment of T2D or the pancreas protection are provided. The dimer of the present disclosure is formed by two identical cysteine-containing GLP-1 monomers through a disulfide bond. The H-like GLP-1 homodimer (disulfide bond is inside chains) showed remarkable increase in hypoglycemic duration without reducing specific activity. The GLP-1 dimer provided has an in-vivo effective duration of up to 19 days, which significantly prolonged compared with that of the positive control drug Liraglutide with 3 days of effective duration, or thereby greatly promoting the technical advancement in long-acting GLP-1 drugs and facilitating their clinical applications and business. Meanwhile the U-like homodimer (disulfide bond is at the C-terminus) does not affect blood glucose, but can obviously protect pancreatic exocrine cells such as acini and ducts, and improve pancreas function.

Abstract: The technology involves pullover maneuvers for vehicles operating in an autonomous driving mode. A vehicle operating in an autonomous driving mode is able to identify parking locations that may be occluded or otherwise not readily visible. A best case estimation for any potential parking locations, including partially or fully occluded areas, is compared against predictions for identified visible parking locations. This can include calculating a cost for each potential parking location and comparing that cost to a baseline cost. Upon determining that an occluded location would provide a more viable option than any visible parking locations, the vehicle is able to initiate a driving adjustment (e.g., slow down) prior to arriving at the occluded location. This enables the vehicle to minimize passenger discomfort while also providing notice to other road users of an intent to pull over.

Abstract: The present invention relates to a method and system for quantitatively evaluating surface roughness of an organic pore of kerogen in shale. The method includes: making a shale sample; applying a circle of silver-painted conductive tape on the edge of the shale sample to obtain a processed sample; conducting image scanning on the processed sample to obtain a scanned image; determining a kerogen area according to the scanned image; determining an organic pore area according to the kerogen area; carrying out gridding treatment on the organic pore area to obtain multiple grid cells; adopting double integral calculation on each of the grid cells to obtain the areas of the multiple grid cells; summing each of the areas to obtain the surface area of the organic pore; and evaluating surface roughness of the organic pore according to the surface area of the pore.

Abstract: A corrugated pipe connection device for a continuous section at the top of a continuous T-shaped beam bridge pier. The connection device includes a combined steel pipe telescopic device and a corrugated pipe connector, the interiors being hollow; the connector includes a first clamping member for clamping a wall surface of a corrugated pipe; one end of the telescopic device is a second clamping member with the same structure as the first; the other end is a telescopic steel pipe which is telescopic in the length direction; and the telescopic steel pipe is connected to the connector. The device replaces a corrugated pipe between two T-shaped beams, thereby avoiding problems such as breakage and slurry leakage caused by an original construction mode. The device can stretch out and draw back according to a distance between the T-shaped beams, and steel strands can be stranded by means of a stranding machine.

Abstract: A method for preparing a monodomain liquid crystal elastomer smart fiber incudes: during cross-linking process of the liquid crystal elastomer, drawing of liquid crystal elastomer fibers with uniform diameter from a polymer solution when the viscosity of the cross-linked polymer solution increases to a point where filaments can be drawn; heating by an infrared lamp to form filamentous liquid crystal elastomer fiber; natural air drying to remove excess solvent in the fiber; and stretching and collection of the fiber, followed by placement of the fiber, whereby the monodomain liquid crystal elastomer smart fiber is obtained.

Abstract: The technology involves pullover maneuvers for vehicles operating in an autonomous driving mode. A vehicle operating in an autonomous driving mode is able to identify parking locations that may be occluded or otherwise not readily visible. A best case estimation for any potential parking locations, including partially or fully occluded areas, is compared against predictions for identified visible parking locations. This can include calculating a cost for each potential parking location and comparing that cost to a baseline cost. Upon determining that an occluded location would provide a more viable option than any visible parking locations, the vehicle is able to initiate a driving adjustment (e.g., slow down) prior to arriving at the occluded location. This enables the vehicle to minimize passenger discomfort while also providing notice to other road users of an intent to pull over.

Abstract: The present disclosure provides a theaflavin composition capable of promoting wound healing as well as a preparation method and use thereof. The theaflavin composition comprises theaflavin 3?-digallate or crude theaflavins as the main component; when the theaflavin composition comprises the theaflavin-3-3?-digallate as the main component, it further comprises component A or component B, or further comprises both component A and component B; when the theaflavin composition comprises the crude theaflavins as the main component, it further comprises component B, in which component A comprises sodium acetate, chitosan, and gelatin, and component B comprises glycerin, propylene glycol, triethanolamine, and Carbomer 940. The theaflavin composition provided by the present disclosure can significantly promote wound healing of diabetic mice.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a pull-over location using machine learning. One of the methods includes obtaining data specifying a target pull-over location for an autonomous vehicle travelling on a roadway. A plurality of candidate pull-over locations in a vicinity of the target pull-over location are identified. For each candidate pull-over location, an input that includes features of the candidate pull-over location is processed using a machine learning model to generate a respective likelihood score representing a predicted likelihood that the candidate pull-over location is an optimal location. The features of the candidate pull-over location include one or more features that compare the candidate pull-over location to the target pull-over location. Using the respective likelihood scores, one of the candidate pull-over locations is selected as an actual pull-over location for the autonomous vehicle.

Abstract: The technology involves pullover maneuvers for vehicles operating in an autonomous driving mode. A vehicle operating in an autonomous driving mode is able to identify parking locations that may be occluded or otherwise not readily visible. A best case estimation for any potential parking locations, including partially or fully occluded areas, is compared against predictions for identified visible parking locations. This can include calculating a cost for each potential parking location and comparing that cost to a baseline cost. Upon determining that an occluded location would provide a more viable option than any visible parking locations, the vehicle is able to initiate a driving adjustment (e.g., slow down) prior to arriving at the occluded location. This enables the vehicle to minimize passenger discomfort while also providing notice to other road users of an intent to pull over.

Abstract: A method for color-based calibration for eye-tracking includes presenting a calibration image to an eyebox area via a waveguide of a head mounted display (HMD). An estimated pupil center location of an eye is determined with an eye-tracking system. Next, user input is received in response to the calibration image. The user input includes an indication of a perceived color nonuniformity of the calibration image. The estimated pupil center location is then adjusted based on the user input.

Abstract: The invention relates to an energy harvesting and self-cleaning system based on graphene aerogels and its preparation method, which a layer of metal collector is sputtered on both sides of the freeze-dried graphene aerogel by magnetron sputtering; the graphene aerogel with collector is fixed on the side and bottom of the substrate in series and/or parallel connection, and then is put into the electrolyte to get the target system. The system provides a new idea for mechanical energy harvesting. Firstly introduced aerogels into the field of mechanical energy harvesting. In addition, the system can not only collect mechanical energy, but also absorb oil and other impurities in the ocean, playing the role of ocean cleaning. The energy collection system formed by single aerogel can produce ˜220 mV open circuit voltage in Sodium Chloride Solution or organic electrolyte, and generate 2 W/kg power density.

Abstract: The present invention relates to a method and system for quantitatively evaluating surface roughness of an organic pore of kerogen in shale. The method includes: making a shale sample; applying a circle of silver-painted conductive tape on the edge of the shale sample to obtain a processed sample; conducting image scanning on the processed sample to obtain a scanned image; determining a kerogen area according to the scanned image; determining an organic pore area according to the kerogen area; carrying out gridding treatment on the organic pore area to obtain multiple grid cells; adopting double integral calculation on each of the grid cells to obtain the areas of the multiple grid cells; summing each of the areas to obtain the surface area of the organic pore; and evaluating surface roughness of the organic pore according to the surface area of the pore.

Abstract: Disclosed herein are systems, methods, and devices for providing load unit recommendations. An example method includes monitoring queries executed by a database management system including a database object, determining an access frequency of the database object based upon the monitoring, and determining relative access counter information for the database object based on the access frequency. Subsequently, the method includes generating a sorted element based on the relative access counter information, determining threshold values based on threshold information and the sorted element, and determining a load unit for the database object based on the sorted element and the threshold values. The load unit indicates whether to load the whole database object, or only a portion thereof, into a main memory of the DBMS while accessing the database object.

Abstract: Disclosed herein are system, method, and device embodiments for providing load unit recommendations. An embodiment operates by monitoring queries executed by a database management system including a database object, determining an access frequency of the database object based upon the monitoring, and determining relative access counter information for the database object based on the access frequency. Some embodiments may further operate by generating a sorted element based on the relative access counter information, determining threshold values based on threshold information and the sorted element, and determining a load unit for the database object based on the sorted element and the threshold values, wherein the load unit may indicate whether to load the whole database object into main memory of the DBMS while accessing the database object or only load a portion of the database object into main memory of the DBMS when accessing the database object.

Abstract: A pattern based audio searching method includes labeling a plurality of source audio data based on patterns to obtain audio label sequences of the source audio data; obtaining, with a processing device, an audio label sequence of target audio data; determining matching degree between the target audio data and the source audio data according to a predetermined matching rule based on the audio label sequence of the target audio data and the audio label sequences of the source audio data; and outputting source audio data having matching degree higher than a predetermined matching threshold as a search result.