Abstract: An electrode useful in energy storage devices comprises a current collector and an active layer on the current collector, wherein the active layer comprises electrode active particles, electrically conducting material and a binder wherein the binder comprises a copolymer that comprises a first repeat unit and a second repeat unit; where the first repeat unit is derived from the polymerization of a first monomer which is ethylenically unsaturated monomer having a hydrophilic pendant group and the second repeat unit is derived from the polymerization of a second monomer having ethylenic unsaturation.

Abstract: A lithium ion capacitor includes binder free positive and negative electrode active layers. The capacitor exhibits high energy density, power density and cycle life and provides a good compromise in performance between an electric double layer capacitor and a lithium ion battery.

Abstract: The present disclosure is directed to a crystal of L-glufosinate and a preparation method and use thereof. The crystal of L-glufosinate includes five crystal forms, namely crystal form A, crystal form B, crystal form C, crystal form D and crystal form E. These crystal forms show excellent effects in stability, hygroscopicity, storage, etc., which are beneficial to the preparation, separation and storage of herbicides, and at the same time have good solubility and good pharmacokinetics, which is further beneficial to improve the level and speed of herbicides to control weeds.

Abstract: A lithium ion capacitor includes binder free positive and negative electrode active layers. The capacitor exhibits high energy density, power density and cycle life and provides a good compromise in performance between an electric double layer capacitor and a lithium ion battery.

Abstract: In an embodiment, the present disclosure pertains to electric field generators that include a signal generator electrically connected to a power amplifier, a impedance matching circuit electrically connected to the power amplifier, and a power divider electrically connected to the impedance matching circuit and to at least one of a first wall, a second wall, a third wall, a fourth wall, or a base area. In an additional embodiment, the present disclosure pertains to method of determining radio frequency (RF)-induced heating on a medical device utilizing an electric field generator of the present disclosure. Additional embodiments of the present disclosure pertain to methods of making electric field generators for testing a medical device.

Abstract: A method for forming an electrode active material comprising mixing a lithium source and an active material precursor utilizing homogenization and sintering processes, and products thereof, are disclosed. Such a method utilizing large lithium source particles removes the need for milling lithium source particles, thereby achieving a cost-effective and simplified electrode active material production process.

Abstract: The present disclosure relates to a data processing method and apparatus for a quantum chemistry system. The data processing method for a quantum chemistry system comprises the following steps: acquiring a specific wave function which is constructed on the basis of a neural network and is suitable for a quantum chemistry system; performing walker processing on the basis of the specific wave function, the walker processing comprising diffusion processing of walkers; and determining related information about chemical properties of the quantum chemistry system on the basis of the specific wave function and the processed walkers.

Abstract: A method for synchronizing intelligent electronic units IEDs in a locally restricted network, which has at least two timing units. For a timing unit that has become functional again or has been reconnected to the network, checking whether the network contains a further timing unit in an active grandmaster role. Forcing the first timing unit into its slave state when another timing unit in the grandmaster role has been detected in the locally restricted network, wherein the first timing unit synchronizes with the timing unit in the grandmaster role. Once synchronization is complete, no longer forcing the first timing unit into the slave state. The first timing unit switches to the role of grandmaster timing unit when it is better suited to the grandmaster role, or it remains in its slave state when another timing unit in the network is better suited to the grandmaster role.

Abstract: A method for accelerating the generation of Virtual Extensible Local Area Network (VXLAN) packets with an application specific integrated circuit (ASIC) includes the following steps: determining whether an original packet is an upstream packet; when the original packet is the upstream packet, determining whether the original packet is for a VXLAN egress interface; when the original packet is for the VXLAN egress interface, adding a prototype outer header to the front of the original packet and thereby generating a VXLAN packet; and after generating the VXLAN packet, determining whether to modify the content of the prototype outer header.

Abstract: An electrode comprising a current collector and an active layer on the current collector, wherein the active layer comprises electrode active particles, electrically conducting material and a binder wherein the binder comprises a polymer selected from the group consisting of polyacrylamides, polymethacrylic acid, polyacrylic acid and salts thereof can be used in an energy storage device. The electrode can be made by providing a slurry comprising the electrically conductive elements, the binder and the electrode active material in water, alcohol or a combination thereof, and coating the slurry onto a current collector, and drying to remove the solvent.

Abstract: An online concierge system facilitates order fulfillment by maintaining discrete time intervals for deliveries and a hierarchical data structure encoding picker characteristics. Each level in the tree structure represents a fulfillment capability and is assigned a value. Upon receiving an order specifying items and a time interval, the system applies a machine learning model to predict the number and capability levels of available pickers for the specified interval. The model is trained using historical data labeled with picker availability and their corresponding capability levels. Training includes predicting picker counts per level, computing an error metric, and updating model parameters to minimize error. The system further analyzes the order to assign tags that map to required picker characteristics, aligning them with corresponding levels in the tree structure.

Abstract: The present application belongs to the technical field of drug application, relates to a treatment method using a complex of an angiotensin II receptor antagonist metabolite and an NEP inhibitor, and specifically relates to the dosage of the drug.

Abstract: A TPCT with an internal adiabatic section for efficient ultra-long-distance heat exchange is provided, and includes a condensation section, an adiabatic section and an evaporation section. It is internally equipped with a vapor guiding core pipe and a liquid guiding core pipe passing through the adiabatic section side by side. A top sealing partition plate and a bottom sealing partition plate are arranged at each end of the adiabatic section to fix a wall of TPCT, along with the vapor and liquid guiding core pipes. A cavity is formed by the top and bottom sealing partition plates, the wall of TPCT, the vapor and liquid guiding core pipes, remaining sealed from the outside. Both the top and bottom sealing partition plates are independently sealed from the vapor and liquid guiding core pipes.

Abstract: Provided herein is a cell-free and aaRS-free protein translation systems, and uses thereof in the production of proteins and active enzymes.

Abstract: An online concierge system maintains a data store with discrete time intervals for fulfilling orders and information on shoppers categorized in a tree structure based on their characteristics. When an order is received from a user's client device, the system employs a machine learning model trained on historical data to estimate the number of available shoppers and their corresponding levels in the tree structure. The order is tagged based on the items it contains, and these tags are matched to the levels of capable shoppers. Shoppers are grouped and scored based on their levels, and a group with the minimum score and capability to fulfill the order is selected. A shopper from this group is then dispatched for order fulfillment, leading to a decrement in the estimated number of shoppers in the selected group. This approach optimizes the allocation of shoppers to orders, ensuring efficient and timely fulfillment.

Abstract: A light emitting diode is provided. The light emitting diode includes: a semiconductor stack, including a first semiconductor layer, a second semiconductor layer, and an active layer located between the first semiconductor layer and the second semiconductor layer; a first insulating layer, formed on the semiconductor stack; a reflective electrode layer, partially formed on the first insulating layer, wherein a minimum distance between an edge of the reflective electrode layer and the semiconductor stack is a fourth distance, and the fourth distance is in a range of 1 ?m to 5 ?m; and a fourth insulating layer, formed on the reflective electrode layer, wherein the fourth insulating layer is aluminum oxide.

Abstract: A method is proposed for a deep learning simulation of a topological insulator. The method includes determining, by using a neural network, a wavefunction of a moiré system based on positions and spins of electrons of the moiré system; and determining, based on the wavefunction, whether the moiré system is a topological insulator.

Abstract: An online concierge system assigns shoppers to fulfill orders from users. To allocate shoppers, the online concierge system predicts future supply and demand for the shoppers' services for different time windows. To forecast a supply of shoppers, the online concierge system trains a machine learning model that estimates future supply based on access to a shopper mobile application through which the shoppers obtain new assignments by shoppers. The online concierge system also forecasts future orders. The online concierge system estimates a supply gap in a future time period by selecting a target time to accept for shoppers to accept orders and determining a corresponding ratio of number of shoppers and number of orders. The online concierge system may adjust a number of shoppers allocated to the future time period to achieve the determined ratio number of shoppers and number of orders.

Abstract: Disclosed herein is an energy storage device that comprises a cathode and an anode, wherein at least one of the anode and cathode includes an active layer comprising a network of high aspect ratio carbon elements defining void spaces within the network; and a plurality of electrode active material particles disposed in the void spaces within the network; and the network of high aspect ratio carbon elements has an intersection density of at least 0.1 per ?m2.