Abstract: The present invention is directed to devices formed from three dimensional (3D) structures composed of wires, yarns of wires, or 3D printed structures. The devices of the present invention offer the potential for 3D structures with multiple properties optimized concurrently, using optimization within the 3D manufacturing constraints. The 3D structures of the present invention include multiple properties that are optimized for heat transfer applications. The present invention also includes the methods for optimization of the 3D woven lattices as well as methods of use of the 3D woven lattices in heat transfer applications.

Abstract: This disclosure provides semiconducting polymer dots (Pdots) for use in a wide variety of applications. In particular, this disclosure provides Pdots that are halogenated, including fluorinated Pdots. This disclosure also provides methods for synthesizing Pdots and methods for using Pdots, such as for biological imaging.

Abstract: A mine field layout method suitable for fluidized mining of coal resources is provided. A main shaft and an air shaft are provided in the mine field, the bottom of the main shaft is located in the shallow horizontal coal seam zone, and the bottom of the air shaft is located in the deep horizontal coal seam zone. The horizontal main roadways are arranged at two boundaries along the strike of the coal seam, and inclined main roadways are arranged at two boundaries along the dip direction of the coal seam. Connecting roadways are located inside the mine field and are in communication with the horizontal main roadways. In the coal mining stage, the coal resources can be converted into the fluidized energy product and/or electricity by an unmanned automatic mining machine.

Abstract: The present disclosure provides a pipelined analog-to-digital converter having input signal pre-comparison and charge redistribution, including: one-stage or multi-stage of pipelined structure unit, a first flash analog-to-digital converter, and an adjusting output unit. Each stage of the pipelined structure unit is used to quantify the input signal. The first flash analog-to-digital converter quantizes a residual signal output by a final pipelined structure unit, and outputs a corresponding quantized value. The adjusting output unit combines each of the quantized values according to a connection order of the multi-stage pipelined structure unit and a flash analog-to-digital conversion unit to output a complete quantization result.

Abstract: An inspection system is disclosed. The system includes a controller communicatively couplable with an inspection sub-system configured to receive illumination from a sample and generate image data. The controller includes one or more processors configured to execute program instructions causing the one or more processors to receive the image data, wherein the image data comprises at least one image, downsample the at least one image using bicubic interpolation or bilinear interpolation, transform the at least one image from a spatial domain to a frequency domain using a Fourier transform, filter frequencies higher than a threshold frequency from the at least one image, transform the at least one image from the frequency domain to the spatial domain using an inverse Fourier transform, and detect one or more flat-pattern defects in the at least one image.

Abstract: A kinetic energy harvester includes a P-type hydrogel composite electrode; an N-type hydrogel composite electrode; a separator disposed between the P-type hydrogel composite electrode and the N-type hydrogel composite electrode; and a current collector between the P-type hydrogel composite electrode and the N-type composite electrode.

Abstract: Disclosed is a Glechoma longituba (Nakai) Kupr. extract, specifically compounds I and II, a preparation method for same, and a use thereof in preparing a medicament for blood glucose decease, blood lipids decrease, weight loss, and kidney disease treatment or a method for treatment of said diseases, and a composition containing the extract.

Abstract: The invention provides a UV illumination device for sterilizing and disinfecting a desired item or area. The device is having a built-in camera and UV light source in order to disinfect and sterilize the desired item or area. The device automatically detects the human presence and the acts as a normal household light and can be fit inside the conventional light bulb or tube light holder. Further, the device uses an artificial intelligence module, object detection module, machine learning module, localization module, and a plurality of sensors to easily detect the application area and act according to parameters of a particular item. Furthermore, the device can be manually controlled by using a remote device which is having a display where the user can select, identify, prioritize the items and can adjust the time and intensity of the light projection based upon his/her own intellect.

Abstract: Provided are ophthalmic devices comprised of a reaction product of a composition comprising: (i) a crosslinked substrate network containing covalently bound activatable free radical initiators; and (ii) a grafting composition containing one or more ethylenically unsaturated compounds. Also provided are processes for making ophthalmic devices.

Abstract: The present invention is directed to compounds of the formula (I) wherein all substituents are defined herein, as well as pharmaceutically acceptable compositions comprising compounds of the invention and methods of using said compositions in the treatment of various disorders.

Abstract: A computer-implemented method is presented for enabling instant and automatic photo sharing between computing devices. The method includes allowing a first user to operate a first computing device to create a plurality of images, the plurality of images including physical characteristics of a second user, transmitting a broadcast message to a plurality of second computing devices, determining whether a match occurs between the first computing device and one or more of the plurality of second computing devices, and establishing a local area network between the first computing device and matched second computing devices. The method further includes automatically and instantly transmitting the plurality of images to the matched second computing devices by priority and sequence determinations, and, upon completion of the transmittal of the plurality of images to the matched second computing devices, terminating the local area network.

Abstract: A clock oscillator includes with a pullable BAW oscillator to generate an output signal with a target frequency. The BAW oscillator is based on a BAW resonator and voltage-controlled variable load capacitance, responsive to a capacitance control signal to provide a selectable load capacitance. An oscillator driver (such as a differential negative gm transconductance amplifier), is coupled to the BAW oscillator to provide an oscillation drive signal. The BAW oscillator is responsive to the oscillation drive signal to generate the output signal with a frequency based on the selectable load capacitance. The oscillator driver can include a bandpass filter network with a resonance frequency substantially at the target frequency.

Abstract: Provided are ink compositions for making cosmetic contact lenses, as well as cosmetic contact lenses and methods for their preparation and use. The ink composition comprises: (a) a colorant; and (b) a nonreactive hydrophilic polymer.

Abstract: A battery (100) and a battery pack having the same, and an electric vehicle are disclosed. The battery (100) includes: a housing; a cover plate (30) located at an end of the housing; a terminal (40) disposed on the cover plate (30); a pole core (10) located inside the housing and having a tab (20), at least one part of the tab (20) being connected to the terminal (40); and an insulating spacer (50) covering one side that is of the at least one part of the tab (20) and that faces away from the terminal (40).

Abstract: Aside spray method for cooling the steel strip after hot rolling, comprising the following steps: a) providing side spray devices (30, 30?, 30?) behind each of cooling sections after hot rolling (20, 20?, 20?), the side spray devices being staggered along the two sides of an run out roller table (10), each side spray device comprising at least two spray units, each spray unit comprising spray tubes (2, 2?, 2?) and nozzles on the tubes, the spray tubes being in parallel and vertically arranged along running direction of the steel strip, the covering ranges of adjacent nozzles are partially overlapped, and a total spray coverage of nozzles covers the width of the entire run out roller table; side spray water collecting devices (40, 40?, 40?) are provided on the other side of the run out roller table that is opposite to side spray devices, so that side spray water being collected by the water collecting devices; b) controlling the side spray devices in a mode of open-in-pairs, i.e.

Abstract: The present disclosure relates to the field of semiconductor integrated circuits, and to a method for calibrating a capacitor voltage coefficient of a high-precision successive approximation analog-to-digital converter (SAR ADC). The method includes: calibrating a voltage coefficient; obtaining a sampled charged charge according to a capacitance model with the voltage coefficient; according to an INL value obtained by testing, first verifying whether a maximum value of INL occurs in the place shown in Equation 3, then obtaining two very close second-order capacitor voltage coefficients according to Equation 4, and taking an average value thereof as a second-order capacitor voltage coefficient; and then calibrating the second-order capacitor voltage coefficient in a digital domain.

Abstract: A system for analyzing a sample includes an inspection sub-system and at least one controller. The inspection sub-system is configured to scan a sample to collect a first plurality of sample images having a first image resolution. The controller is configured to generate a defect list based on the first plurality of sample images. The controller is further configured to input images corresponding to the defect list into a neural network that is trained with source data including sample images having the first image resolution and sample images having a second image resolution higher than the first image resolution. The controller is further configured to generate a second plurality of sample images with the neural network based on the images corresponding to the defect list, where the second plurality of sample images have the second image resolution and correspond to the defect list.

Abstract: The present invention discloses an Internet of Vehicles (IoV) low latency communication method and also discloses an IoV terminal and an IoV system for implementing the low latency communication method. The present invention uses a combination of a macro node and access points to perform resource scheduling on services requested by the IoV terminal and reduce a network transmission latency and ensure data transmission reliability through optimization of a data transmission manner, high-efficient processing at a data network side, and stable access of edge users by using technologies such as fog computing, open loop communication, path diversity, and network slicing.

Abstract: A machine learning model is learned using secure vertical federated learning by receiving, by a network machine learning model, from a plurality of private machine learning models, a set of private machine learning model outputs. The set of private machine learning model outputs is based on data owned exclusively by each of the plurality of private machine learning models. The set of private machine learning model machine learning outputs is aligned based on sample IDs of the data. The network machine learning model, a prediction, the prediction being the output of the network model based on the set of private machine learning model outputs. Transmitting, by the network model, the prediction, to one of the plurality of private machine learning models, the one of the plurality of private machine learning models comprising labels.