Abstract: A method for increasing bulkiness of reconstituted tobacco by adding tobacco stem particles includes (1) pulverizing a first portion of tobacco stems to obtain tobacco stem particles; (2) classifying the tobacco stem particles with mesh sieves and selecting the tobacco stem particles with a predetermined mesh size; (3) extracting a second portion of the tobacco stems with water and grinding to form a tobacco stem slurry that has a beating degree of 12-14° SR, and mixing the tobacco stem slurry with tobacco leaves in a weight ratio of 6:4 and grinding to obtaining a tobacco slurry that has a beating degree of 18-20° SR; (4) cutting plant fiber pulp boards and dispersing in water to form a plant fiber pulp; (5) preparing a filler solution that contains 10 wt % of a mineral filler; (6) mixing, rolling and drying to obtain the reconstituted tobacco.

Abstract: A method of preparing an aramid paper coated with aramid nanofibers includes the following steps: (1) mixing a meta-aramid fibrid slurry and a chopped meta-aramid fiber slurry, filtering, pressing and drying to obtain a meta-aramid paper; (2) mixing potassium hydroxide, deionized water, dimethyl sulfoxide, and para-aramid nanofibers in a container, and stirring to obtain a para-aramid nanofiber coating solution; and (3) applying the para-aramid nanofiber coating solution to a first side of the meta-aramid paper, washing with deionized water, and drying; applying the para-aramid nanofiber coating solution to a second side of the meta-aramid paper, washing with deionized water, and drying; and hot pressing to obtain the aramid paper coated with aramid nanofibers.

Abstract: A glass ceramic article including a lithium disilicate crystalline phase, a petalite crystalline phased, and a residual glass phase. The glass ceramic article has a warp (?m)<(3.65×10?9/?m×diagonal2) where diagonal is a diagonal measurement of the glass ceramic article in ?m, a stress of less than 30 nm of retardation per mm of glass ceramic article thickness, a haze (%)<0.0994t+0.12 where t is the thickness of the glass ceramic article in mm, and an optical transmission (%)>0.91×10(2?0.03t) of electromagnetic radiation wavelengths from 450 nm to 800 nm, where t is the thickness of the glass ceramic article in mm.

Abstract: Bimetallic catalysts for the hydrodeoxygenation (HDO) conversion of lignin into useful hydrocarbons are provided. The catalysts are bifunctional bimetallic ruthenium catalysts Ru-M/X+Y comprising a metal M such as iron (Fe), nickel (Ni), copper (Cu) or zinc (Zn), zeolite Y and cation X+ (e.g. H+) associated with zeolite Y.

Abstract: Certain aspects of the present disclosure generally relate to a vertically stacked multilayer resistive random access memory (RRAM) and methods for fabricating such an RRAM. The vertically stacked multilayer RRAM generally includes a planar substrate layer and a plurality of metal-insulator-metal (MIM) stacks, each MIM stack structure of the plurality of MIM stacks comprising a plurality of MIM structures extending orthogonally above the planar substrate.

Abstract: The present invention belongs to the technical field of mechanical testing devices, and provides a transverse load stepless amplitude modulation device of multiple bolt loosing tester. The transverse load stepless amplitude modulation device of multiple bolt loosing tester consists of four parts: a transverse load stepless amplitude modulation part, a transverse load transmission part, a torque load transmission part and an axial load transmission part. The transverse load stepless amplitude modulation device of multiple bolt loosing tester of the present invention provides stepless amplitude modulation continuous transverse loads for a flange bolt set and guarantees the accuracy of the transverse loads through a feedback control system.

Abstract: Disclosed is a display substrate including a base substrate, and gate lines, data lines, common electrode lines and common electrodes on the base substrate; the gate lines and the data lines intersect to define pixel areas; the common electrodes are located in the pixel areas; the gate lines and the common electrode lines are alternately arranged one by one; each common electrode lines includes target wire segments and non-target wire segments, the target wire segments are wire segments where the common electrode lines and the data lines intersect, and the non-target wire segments are wire segments on the common electrode line except the target wire segments; and for each common electrode line, a distance between any position point on the target wire segment and a target gate line is less than a distance between the non-target wire segment and the target gate line.

Abstract: A semiconductor device comprising an N-type metal oxide semiconductor (NMOS) gate-all-around (GAA) transistor and a P-type metal oxide semiconductor (PMOS) GAA transistor with high charge mobility channel materials is disclosed. The semiconductor device may include a substrate. The semiconductor device may also include an NMOS GAA transistor on the substrate, wherein the NMOS GAA transistor comprises a first channel material. The semiconductor device may further include a PMOS GAA transistor on the substrate, wherein the PMOS GAA transistor comprises a second channel material. The first channel material may have an electron mobility greater than an electron mobility of Silicon (Si) and the second channel material may have a hole mobility greater than a hole mobility of Si.

Abstract: The present disclosure provides systems and methods that apply neural networks such as, for example, convolutional neural networks, to sparse imagery in an improved manner. For example, the systems and methods of the present disclosure can be included in or otherwise leveraged by an autonomous vehicle. In one example, a computing system can extract one or more relevant portions from imagery, where the relevant portions are less than an entirety of the imagery. The computing system can provide the relevant portions of the imagery to a machine-learned convolutional neural network and receive at least one prediction from the machine-learned convolutional neural network based at least in part on the one or more relevant portions of the imagery. Thus, the computing system can skip performing convolutions over regions of the imagery where the imagery is sparse and/or regions of the imagery that are not relevant to the prediction being sought.

Abstract: Disclosed are a method and a device for treating high ammonia-nitrogen wastewater using a microbial electrolysis cell (MEC) assisted SANI system, including an SANI system, an MEC and a power supply. The cathode chamber and anode chamber of the MEC are separated by a separator and are respectively connected to the cathode and anode of the power supply, and a cathode electrode is enriched with hydrogen autotrophic denitrifying bacteria. The cathode chamber has two main functions. Firstly, a higher denitrification efficiency is achieved due to the enriched hydrogen autotrophic denitrifying bacteria; and secondly, the alkalinity produced in the cathode can adjust the pH of the nitrification chamber. In addition, the cathode chamber can oxidize the residual sulfide in the effluent to meet the discharge standard. This system retains the advantage of less sludge in a SANI process, but also can be applied to the treatment of wastewater with high ammonia-nitrogen.

Abstract: A control system is provided for an electric motor configured to drive a fluid moving apparatus to generate a fluid-flow. The control system includes a drive circuit configured to regulate power supplied to a stator of the motor to turn a rotor and generate the fluid-flow, and a processor that computes a value proportional to at least one of a system resistance or a static pressure for the fluid moving apparatus based on a fixed set point for a first control parameter and a feedback parameter. The processor receives a fluid-flow rate demand and computes an operating set point for a second control parameter based on the fluid-flow rate demand and the value proportional to the system resistance or the static pressure. The processor controls the drive circuit based on the operating set point to supply power to the motor and operate the fluid moving apparatus to generate the fluid-flow.

Abstract: In some embodiments, a system includes an artificial intelligence (AI) chip and a processor coupled to the AI chip and configured to receive an input image, crop the input image into a plurality of cropped images, and execute the AI chip to produce a plurality of feature maps based on at least a subset of the plurality of cropped images. The system may further merge at least a subset of the plurality of feature maps to form a merged feature map, and produce an output image based on the merged feature map. The cropping and merging operations may be performed according to a same pattern. The system may also include a training network configured to train weights of the CNN model in the AI chip in a gradient descent network. Cropping and merging may be performed over the training sample images in the training work in a similar manner.

Abstract: A method and an apparatus for setting a sports mode are provided. Two metal endpoints on an outer surface of an intelligent device are respectively used as an output end and a receive end of signals. A signal sent by the output end is compared with a signal received by the receive end to determine whether the intelligent device currently meets a preset condition. First sports characteristic data detected by a sports sensing apparatus is obtained to determine whether the first sports characteristic data matches preset sports characteristic data corresponding to a swimming mode. When two determining results are both “yes”, it can be determined that the intelligent device meets a setting condition of the swimming mode.

Abstract: The specification relates to compounds of Formula (I): and to pharmaceutically acceptable salts thereof, to processes and intermediates used for their preparation, to pharmaceutical compositions containing them and to their use in the treatment of cell proliferative disorders.

Abstract: Certain aspects of the present disclosure are directed to a semiconductor device. The semiconductor device generally includes a substrate, at least one silicon-on-insulator (SOI) transistor disposed above the substrate, a gate-all-around (GAA) transistor disposed above the substrate, and a fin field-effect transistor (FinFET) disposed above the substrate.

Abstract: Certain aspects are directed to a static random access memory (SRAM) including an SRAM cell with a pass-gate (PG) transistor having increased threshold voltage to improve the read margin of the SRAM cell. The SRAM generally includes a first SRAM cell having a pull-down (PD) transistor and a PG transistor coupled to the PD transistor. In certain aspects, the SRAM includes a second SRAM cell, the second SRAM cell being adjacent to the first SRAM cell and having a PD transistor and a PG transistor coupled to the PD transistor of the second SRAM cell. The SRAM may also include a gate contact region coupled to a gate region of the PG transistor of the first SRAM cell, wherein at least a portion of the gate contact region is offset from a midpoint between the first SRAM cell and the second SRAM cell.

Abstract: Systems and methods for visualizing furnishing objects in a property are disclosed. An exemplary system includes a communication interface configured to receive a depth image of an interior space of the property captured by a 3D scanner and the depth image includes one or more existing furnishing objects in the interior space. The system further includes at least one processor configured to remove at least one existing furnishing object from the depth image, leaving at least one hole in the depth image corresponding to where the removed existing furnishing object used to be. The at least one processor is further configured to restore the depth image by filling the at least one hole in the depth image with a scene of the interior space that was blocked by the removed existing furnishing object, using a first neural network model trained with an image inpainting algorithm.

Abstract: Systems and methods for generating a remodeling plan for a property are disclosed. An exemplary system includes a communication interface configured to receive a floor plan of the property and a remodeling preference. The system further includes at least one processor configured to obtain structural data of the property based on the floor plan and obtain a neural network model based on the remodeling preference. The neural network model is trained using sample floor plans and sample remodeling data for the remodeling preference. The at least one processor is further configured to learn structural remodeling information based on the floor plan and the structural data using the neural network model. The at least one processor is also configured to generate the remodeling plan for the property based on the structural remodeling information. The remodeling plan identifies one or more structures in the floor plan for remodeling.

Abstract: A method for making oligomers is described. The method includes reacting a polyol with a precursor having mixed functionality. The precursor includes a curable functional group and an isocyanate group capable of reacting with an alcohol group of the polyol. The precursor reacts with the alcohol group of the polyol to form a urethane linkage and to add a covalently bonded curable functional group to the polyol. The oligomers can be included in coating compositions for optical fiber and lead to coatings having improved tear strength.

Abstract: This patent disclosure provides various embodiments of a client-server based digital video playback system and technique. In one aspect, a process for playing an internet/online video on a user device is disclosed. This process can begin by sending a video playback request for playing back an online video to a server. Next, the process receives a set of video playback addresses corresponding to a set of transcoded versions of the online video and a recommended playback order for the set of transcoded versions from the server. Note that the set of video playback addresses and the recommended playback order are generated based on the video playback request. The process subsequently selects a first video playback address from the set of video playback addresses corresponding to the highest order in the recommended playback order.