Abstract: A curve shaping apparatus includes: a heating device provided in a path and heats a reinforcing fiber material; a clamping mechanism switches between a clamping state and a non-clamping state; a swing mechanism including a gripping unit that switches between a gripping state and a non-gripping state, the swing mechanism rotationally drives the gripping unit between an initial position and a rotation position; a shaping mechanism including a shaping mold unit that includes an upper mold, a lower mold, and a pair of side molds for shaping the reinforcing fiber material; a pulling-out mechanism performs a pulling-out operation; and a drive control device configured to control drive of each mechanism so that each process of a rotation process, a pulling-out process, and a shaping process is performed.

Abstract: A method for preparing pure hypochlorous acid includes a step of combining a predetermined amount of sodium hypochlorite with a predetermined volume of a nonpolar solvent and a predetermined amount of a weak acid (e.g., acetic acid) to form a biphasic mixture that includes an aqueous phase and an organic phase. The biphasic mixture is agitated, and then the organic phase is separated from the aqueous phase. The nonpolar solvent is removed from the organic phase to obtain the pure hypochlorous acid.

Abstract: A preparation method of a bismuth oxide film and a reconfigurable photoelectric logic gate are provided. It is discovered for the first time that an open-circuit photovoltage of bismuth oxide varies non-monotonically with a light intensity. A reconfigurable photoelectric logic gate is designed and manufactured by using the unique property of bismuth oxide. By adjusting an input light intensity, various logic gates such as an XOR gate, an AND gate, a NAND gate, an OR gate, a NOR gate, a NOT gate, and an AND-NOT gate can be programmably reconfigured by using a single device, without changing a threshold condition. Compared with a conventional electronic logic gate, a photoelectric logic gate having the characteristic of flexible and diversified programmable reconfigurations can implement more complex operation and calculation with fewer components, thereby being expected to play an important role in the upcoming Internet of Things era in which information increases explosively.

Abstract: A system, method, and computer-program product includes obtaining a decisioning dataset comprising a plurality of favorable decisioning records and at least one unfavorable decisioning record; detecting, via a machine learning algorithm, a favorable decisioning record of the plurality of favorable decisioning records that has a vector value closest to a vector value of the unfavorable decisioning record; executing a counterfactual assessment between the favorable decisioning record and the unfavorable decisioning record; generating an explainability artifact based on one or more bias intensity metrics to explain a bias in a machine learning-based decisioning model; and in response to generating the explainability artifact, displaying the explainability artifact in a user interface.

Abstract: Systems and methods are provided systems and methods for driver training that modulate driver-training feedback on the fly based on a driver's ability to successfully perform vehicular maneuvers. In examples, sensor data is received from sensors on a vehicle. The sensor data is indicative of operation conditions of the vehicle executing a vehicular maneuver. An attribute of driver-training feedback can be adjusted based on a comparison of the operating conditions to a set of performance criteria associated with the vehicular maneuver that are representative of a successful execution of the vehicular maneuver.

Abstract: A SNP-based model for predicting the occurrence of irAEs induced by immunotherapy. The dbSNP database rs541169 and a single nucleotide polymorphism (SNP) site in the TMEM162 (FAM187B) gene are closely correlated with the occurrence of irAEs. The rs541169 can be advantageously used as a biomarker for predicting the occurrence of irAEs induced by immunotherapy or predicting responsiveness to immunotherapy.

Abstract: A wire tension control mechanism includes a wire feeding device, a connecting device and a wire guiding device. The connecting device includes a fixing element and a rotor. The fixing element is connected with the wire feeding device. The rotor is disposed on the fixing element and is movable relative to the fixing element. The wire guiding device is connected to the rotor.

Abstract: Systems and methods are provided for personalizing autonomous driving. The system can receive historical data on a driver of the vehicle's performance and population data indicating a population driving style. Speed data can be recorded as the driver of the vehicle drives the vehicle during a trial period. The historical data, population data, and speed data can be input into a machine learning model to determine a style for the driver. The system can receive one or more parameters from the machine learning model indicating the style. These parameters can be applied to the vehicle's automated driving system.

Abstract: Disclosed herein are systems and techniques for seamless and scalable piezoresistive matrix-based intelligent textile development using digital flat-bed and circular knitting machines. Disclosed embodiments allow for combining and customizing functional conductive and polyester and spandex yarns, thus allowing for designing the aesthetics and architecting and engineering both the electrical and mechanical properties of the pressure sensing textile. In addition, by incorporating a melting fiber, disclosed embodiments allow for shaping and personalizing a three-dimensional piezoresistive fabric structure that can conform to the human body through thermoforming principles.

Abstract: Disclosed are a design method for an ROPS framework and a cab for engineering machines. The design method for an ROPS framework comprises: obtaining target values of a lateral load Fmax and lateral load energy Umax of an ROPS framework by calculation according to the standards of earth-moving machines; selecting a suitable cab framework structure type from a simply supported beamstructural mechanics model; and calculating the sum of profile sectional moduli of all pillars and top cross beams according to a maximum lateral load Fmax quick calculation formula and a maximum load energy Umax quick calculation formula, selecting suitable profiles based on the sum, and constructing a closed spatial framework structure according to the selected cab framework structure type.

Abstract: A system, method, and computer-program product includes obtaining a decisioning dataset comprising a plurality of favorable decisioning records and at least one unfavorable decisioning record; detecting, via a machine learning algorithm, a favorable decisioning record of the plurality of favorable decisioning records that has a vector value closest to a vector value of the unfavorable decisioning record; executing a counterfactual assessment between the favorable decisioning record and the unfavorable decisioning record; generating an explainability artifact based on one or more bias intensity metrics to explain a bias in a machine learning-based decisioning model; and in response to generating the explainability artifact, displaying the explainability artifact in a user interface.

Abstract: Disclosed are a prefabricated wire mesh assembly for a ballast and a method of constructing a gravel-ballasted track using the same. When a gravel ballast is used by filling a box-shaped rebar mesh with crushed stones and injecting a filling material, the prefabricated wire mesh assembly increases injection efficiency by further installing an internal partition wall to effectively support loads without forming a separate ballast shoulder and injecting a filling material through injection pipes installed on an internal partition wall, and prevents water accumulation on a roadbed by a drainage pipe. The prefabricated wire mesh assembly for a ballast is assembled by installing the injection pipe along with the lower mesh and the internal partition wall, thereby allowing the filling material to be injected without installation of a plurality of separate injection pipes, and securing construction quality by increasing injection efficiency of the filling material through the installed injection pipes.

Abstract: Disclosed herein are a compiler-based deep learning model pruning apparatus and method. The compiler-based deep learning model pruning method includes extracting multiple subgraphs from a first deep learning model, generating programs representing respective tasks allocated to the extracted multiple subgraphs, compiling the first deep learning model based on selected programs and measuring execution times of tasks of the first deep learning model on respective devices, and creating a second deep learning model by pruning a subgraph corresponding to at least one task selected from among the tasks from the first deep learning model based on the execution times on the respective devices.

Abstract: Compositions and methods are provided herein for conducting prime editing of a target DNA molecule (e.g., a genome) that enables the incorporation of a nucleotide change and/or targeted mutagenesis. The compositions include fusion proteins comprising nucleic acid programmable DNA binding proteins (napDNAbp) and a polymerase (e.g., reverse transcriptase), which is guided to a specific DNA sequence by a modified guide RNA, named an PEgRNA. The PEgRNA has been altered (relative to a standard guide RNA) to comprise an extended portion that provides a DNA synthesis template sequence which encodes a single strand DNA flap which is synthesized by the polymerase of the fusion protein and which becomes incorporated into the target DNA molecule.

Abstract: The composition inhibits severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) via competitive binding to SARS-COV-2 spike protein. The composition includes a plurality of sulfated glycosaminoglycans which bind to SARS-COV-2 spike protein, preventing binding to and uptake by host cells. The sulfated glycosaminoglycans, including N-, 2-O, 3-O, or 6-O sulfate groups, or combinations thereof, include heparins and fucoidans, such as those isolated from brown seaweed. The compositions show antiviral activity, with EC50 as low as 0.08 ?M, and low cytotoxicity, making it promising for clinical use. While established SARS-COV-2 treatments such as remdesivir need to be administered intravenously, the compositions discussed herein are advantageously capable to being delivered as a nasal spray, metered dose inhaler, oral delivery, etc.

Abstract: The provided is a helmet for mental state regulation. The device includes: a helmet, an electroencephalogram (EEG) acquisition module set to the helmet, a signal analysis module, a vagus nerve stimulation module and a vagus nerve stimulation ear clip; the EEG acquisition module is used to acquire an EEG signal of a target user in real time, and preprocess the acquired EEG signal; the signal analysis module is used to extract features of the preprocessed EEG signal, and the extracted EEG features are input into a mental state assessment model to obtain a mental state value of the target user; the vagus nerve stimulation module is used to determine stimulation parameters of the vagus nerve stimulation ear clip according to the mental state value of the target user, and adjust the stimulation parameters adaptively and dynamically by obtaining the EEG features in real time.

Abstract: A high-strength steel laser welding filler, comprising the following components in percentages by weight: 0.05-0.5% of C, 0.1-2% of Cu, 0.2-2.5% of Cr, 0.5-3.5% of Mo, and 2-10% of Ni, with the balance being Fe and inevitable impurities. The filler is used for laser filler welding of hot-formed steel which has an aluminum-containing coating on the surface thereof, can effectively reduce the adverse effect of the aluminum-containing coating on the surface on the strength of a joint, and enables the strength and plasticity of the welded joint, after hot stamping, to reach 90% or more of those of a base material.

Abstract: The present disclosure provides a data assimilation system of numerical models using atmospheric research aircraft observation data for constructing a data assimilation system for generating improved initial conditions and performing efficient aerial observation work using atmospheric research aircraft observation data, and a method of constructing a weather prediction model with data assimilation applied of the data assimilation system. A data assimilation system of numerical models using atmospheric research aircraft observation data includes an observation error data generation module, a background error covariance generation module, a data assimilation module and a lateral boundary field generation module.

Abstract: Described herein are hydrophilic functionalized polymers (HFPs), methods of preparing such HFPs. Also described are methods of solubilizing hydrophobic drugs using such HFPs. HFP-drug composites, and methods of administering such HFP-drug composites.

Abstract: A magnetohydrodynamic seawater propulsion thruster includes: a first electrode body including a seawater inlet, a seawater flow space, and a seawater outlet; a second electrode body arranged in the seawater flow space to be spaced apart from the first electrode body, and allowing current to flow through the seawater with the first electrode body; a flow guide having a helical shape, arranged between the first electrode body and the second electrode body in the seawater flow space to guide flowing of seawater; a magnetic field formation unit arranged to surround at least a portion of an outer circumference of the first electrode body and generate a magnetic field in an extension direction of the first electrode body; a power supply unit that supplies electricity to the first and second electrode bodies. The power supply unit includes a fuel cell module generating electricity through electrochemical reaction of fuel and oxidizer.