Abstract: Methods for processing a lignocellulosic biomass are provided and include the steps of: combining the lignocellulosic biomass with a hydrophobic deep eutectic solvent (HDES); heating a mixture including the lignocellulosic biomass and the HDES; and separating the mixture into a HDES phase including a first constituent of the lignocellulosic biomass, an aqueous phase including a second constituent of the lignocellulosic biomass, and a solid-residue phase including a third constituent of the lignocellulosic biomass. Water is added to the combination of the lignocellulosic biomass and the HDES, either before or after heating. An acidic additive can be added prior to heating the mixture including the lignocellulosic biomass and the HDES, or a ternary HDES including an acidic compound can be utilized, to further promote dissolution of the lignocellulosic biomass prior to heating.

Abstract: Disclosed is an incomplete dimensionality augmentation-based optimization method for a data-driven power system. By dividing a power flow independent variable into a control variable and a disturbance variable, such as power of a controllable power supply and an uncontrolled voltage amplitude, only the disturbance variable is subjected to dimensionality augmentation, to adapt to the nonlinear characteristic of the power flow; and the control variable keeps a power flow constraint as a linearized expression of the control variable, thereby simplifying a power flow constraint form and solution, and achieving a higher-accuracy of optimization. The power optimization scheduling of distributed photovoltaic can be implemented by the optimization method provided in the present invention.

Abstract: Electrocatalytic overall water splitting to generate hydrogen and oxygen is a green and sustainable approach with zero carbon emission, which is important for the future renewable energy landscape. The practical application of this approach is challenging due to the sluggish reaction kinetics of water activation at high current densities, which are hard to overcome. Although high-performance alkaline bifunctional electrocatalysts may be useful, current catalysts lack both activity and durability. One approach is to rationally design bifunctional two-dimensional (2D) heterostructures but obtaining an efficient and durable catalyst has proved difficult. The present disclosure relates generally to an electrocatalyst including a 2D heterostructure (Ru-CMOP), methods of making and using the same. The catalyst of the present disclosure is designed for high activity and good durability at industrial-level high current densities.

Abstract: Disclosed is a preparation method of a dual-network collagen-based supramolecular hydrogel, including: preparing a silicate nanosheet dispersion and a collagen solution separately; mixing the silicate nanosheet dispersion with the collagen solution followed by stirring to obtain a collagen-silicate nanosheet network; preparing a tannic acid solution and a polyethylene glycol solution separately; mixing the tannic acid solution with the polyethylene glycol solution to obtain a polyethylene glycol-tannic acid network; and subjecting the collagen-silicate nanosheet network and the polyethylene glycol-tannic acid network to reaction to obtain the dual-network collagen-based supramolecular hydrogel. A dual-network collagen-based supramolecular hydrogel prepared by such method is also provided.

Abstract: Methods for detecting and extracting plastic contaminants within a water sample, which involve introducing the water sample to a hydrophobic deep eutectic solvent, are provided.

Abstract: This application discloses a method of displaying information in a program interface of an application performed by a computer device. The method includes: displaying a virtual keyboard control and an extension bar control in the program interface; in response to an input operation in the virtual keyboard control, displaying at least one character string in the extension bar control, the at least one character string being determined according to the input operation in the virtual keyboard control; and in response to a select operation on a target string among the at least one character string in the extension bar control, displaying a function interface of applying a target function to the target string. This embodiment allows a user to quickly switch between function interfaces when using an application, thereby reducing operation steps of the user and improving human-computer interaction efficiency.

Abstract: Disclosed herein are laser-assisted metal-organic chemical vapor deposition devices and methods of use thereof for suppressing background carbon incorporation.

Abstract: A hybrid feeding device for automatically adjusting a co-firing amount of decaying garbage. The device comprises a mechanical grate furnace, a hybrid garbage conveying device, a raw garbage feeding device, a decaying garbage feeding device, a hybrid garbage crushing device, and a control center. The raw garbage feeding device, the decaying garbage feeding device, and the hybrid garbage conveying device are all connected to the control center. The decaying garbage feeding device is used for transporting decaying garbage to the raw garbage feeding device. The raw garbage feeding device is positioned between the decaying garbage feeding device and the hybrid garbage conveying device. The hybrid garbage crushing device is used for crushing garbage and inputting the garbage to the mechanical grate furnace. The mechanical grate furnace is internally provided with a plurality of temperature sensors, and the plurality of temperature sensors are connected to the control center.

Abstract: Disclosed is a preparation method of a dual-network collagen-based supramolecular hydrogel, including: preparing a silicate nanosheet dispersion and a collagen solution separately; mixing the silicate nanosheet dispersion with the collagen solution followed by stirring to obtain a collagen-silicate nanosheet network; preparing a tannic acid solution and a polyethylene glycol solution separately; mixing the tannic acid solution with the polyethylene glycol solution to obtain a polyethylene glycol-tannic acid network; and subjecting the collagen-silicate nanosheet network and the polyethylene glycol-tannic acid network to reaction to obtain the dual-network collagen-based supramolecular hydrogel. A dual-network collagen-based supramolecular hydrogel prepared by such method is also provided.

Abstract: An aluminum-lithium alloy with low density, high strength, and high elastic modulus and its production method are provided. A chemical composition of the aluminum-lithium alloy with low density, high strength, and high elastic modulus by weight is: Cu 1.5-4.5 wt %, Li 2.4-3.8 wt %, Mg 0.5-2.0 wt %, Zn 0.5-1.0 wt %, Ag 0.3-0.8 wt %, Er 0.05-0.3 wt %, Zr 0.05-0.25 wt %, Fe?0.08 wt %, Si?0.05 wt %, and the balance is Al and inevitable impurities. The production method includes: preparing raw materials, drying, adjusting pressure of an electromagnetic-induction furnace, melting in a vacuum induction furnace, power adjustment, casting, heat treatment, cooling. Degassing and slag removals are avoided, and defects of aluminum-lithium alloy during production are reduced.

Abstract: Approaches are presented for training an inverse graphics network. An image synthesis network can generate training data for an inverse graphics network. In turn, the inverse graphics network can teach the synthesis network about the physical three-dimensional (3D) controls. Such an approach can provide for accurate 3D reconstruction of objects from 2D images using the trained inverse graphics network, while requiring little annotation of the provided training data. Such an approach can extract and disentangle 3D knowledge learned by generative models by utilizing differentiable renderers, enabling a disentangled generative model to function as a controllable 3D “neural renderer,” complementing traditional graphics renderers.

Abstract: This application discloses a method of displaying information in a program interface of an application performed by a computer device. The method includes: displaying a virtual keyboard control and an extension bar control in the program interface; in response to an input operation in the virtual keyboard control, displaying at least one character string in the extension bar control, the at least one character string being determined according to the input operation in the virtual keyboard control; and in response to a select operation on a target string among the at least one character string in the extension bar control, displaying a function interface of applying a target function to the target string. This embodiment allows a user to quickly switch between function interfaces when using an application, thereby reducing operation steps of the user and improving human-computer interaction efficiency.

Abstract: Approaches are presented for training an inverse graphics network. An image synthesis network can generate training data for an inverse graphics network. In turn, the inverse graphics network can teach the synthesis network about the physical three-dimensional (3D) controls. Such an approach can provide for accurate 3D reconstruction of objects from 2D images using the trained inverse graphics network, while requiring little annotation of the provided training data. Such an approach can extract and disentangle 3D knowledge learned by generative models by utilizing differentiable renderers, enabling a disentangled generative model to function as a controllable 3D “neural renderer,” complementing traditional graphics renderers.

Abstract: Disclosed herein are laser-assisted metal-organic chemical vapor deposition devices and methods of use thereof for suppressing background carbon incorporation.

Abstract: A computing device, including a hardware accelerator configured to train a machine learning model by computing a first product matrix including a plurality of first dot products. Computing the first product matrix may include receiving a first matrix including a plurality of first vectors and a second matrix including a plurality of second vectors. Each first vector may include a first shared exponent and a plurality of first vector elements. Each second vector may include a second shared exponent and a plurality of second vector elements. For each first vector, computing the first product matrix may further include computing the first dot product of the first vector and a second vector. The first dot product may include a first dot product exponent, a first dot product sign, and a first dot product mantissa. Training the first machine learning model may further include storing the first product matrix in memory.

Abstract: A method for synthesizing a hydrophobic deep eutectic solvent (DES) using one or more lignin-derived compounds is provided.

Abstract: Apparatuses, systems, and techniques to determine pixel-level labels of a synthetic image. In at least one embodiment, the synthetic image is generated by one or more generative networks and the pixel-level labels are generated using a combination of data output by a plurality of layers of the generative networks.

Abstract: Methods for detecting and extracting plastic contaminants within a water sample, which involve introducing the water sample to a hydrophobic deep eutectic solvent, are provided.