Abstract: Articles and methods for delivering a therapeutic agent to a subject are described. These articles and methods may be useful, in some cases, for the delivery of therapeutic agents to the colon of a subject. In some embodiments, an article is configured to release a secretion inducing agent e.g., to stimulate the release of intestinal fluids. The article, in some embodiments, comprises a therapeutic agent such that the stimulated release of intestinal fluid increases the amount of therapeutic agent available for absorption by the colon. For example, in some embodiments, the articles and methods described herein advantageously promote increased absorption of therapeutic agents in subjects as compared to traditionally administered therapeutic agents without additional components such as a secretion inducing agent. In some embodiments, articles and methods described herein may increase the motility of the colon of a subject.

Abstract: A copolymer includes a repeating unit corresponding to polyether sulfone and a repeating unit corresponding to vinyl monomer. The repeating unit corresponding to polyether sulfone has a repeating number of 200 to 450, and the repeating unit corresponding to vinyl monomer has a repeating number of 20 to 100. The copolymer can be blended with another polymer such as polyphenylene sulfide to form a blend.

Abstract: Disclosed herein are an apparatus and method for managing remote attestation. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program may request a gateway to verify the integrity of devices connected with the gateway, receive a verification result about whether the integrity of the devices is damaged from the gateway, identify a device, the integrity of which is damaged, using the verification result, perform detailed integrity verification on the device, the integrity of which is damaged, in order to identify an object, the integrity of which is damaged, and perform an operation for responding to the object, the integrity of which is damaged.

Abstract: A direct fueling station and a method of refueling are provided. The station includes an insulated tank for storing a liquefied fuel, a pump, at least a heat exchanger, a control unit, a dispenser including a flow meter, a flow control device, and at least one sensor for testing pressure and/or temperature. The heat exchanger converts liquefied fuel from pump into a gaseous fuel, which is added into an onboard fuel tank in a vehicle. The control unit includes one or more programs used to coordinate with the pump, the flow meter, the flow control device, and/or the sensor(s) so as to control a refueling method. A peak electrical power requirement is less than that determined by the product of a rated volumetric flow rate of the pump and a rated pumping pressure adequate for a fill pressure of the vehicle. A computer implemented system having the program(s) is also provided.

Abstract: The disclosure provides a structure diagnosis system and a structure diagnosis method. The structure diagnosis system includes: a lidar scanner scanning a structure to generate a point cloud data; an input interface receiving the point cloud data; and a processor receiving the point cloud data and generating a point cloud data set. The processor executes a surface degradation and geometry abnormal coupling diagnosis module to: marking a first point cloud range of a surface degradation area according to color space value of the point cloud data set; marking a second point cloud range of a geometry abnormal area according to coordinate value of the point cloud data set; when an abnormal area includes the first point cloud range and the second point cloud range at least partially overlapping each other, determining surface degradation or geometry abnormal occurring at the abnormal area and mark the abnormal area with a predetermined mode.

Abstract: A bio-polyol composition, a foam composition, and a foam material are provided. The bio-polyol composition includes 25-70 parts by weight of lignin; 30-75 parts by weight of non-amine-based polyol; and, 2-17 parts by weight of amine-based polyether polyol. In particular, the sum of the weight of the lignin and the non-amine-based polyol is 100 parts by weight.

Abstract: Various embodiments relate to a computer system for providing a service consumption plan for efficient service migration in a mobile edge computing (MEC) environment, and a method thereof. The computer system and the method may be configured to construct a graph representing edges indicating a plurality of road segments and a plurality of MEC servers covering the road segments, detect the service consumption plan for maximizing a ratio of a utilized journey time, which is served through at least one of the MEC servers for a total journey time, with respect to paths between a starting vertex and a goal vertex set by a user by using the graph, and provide the user with the service consumption plan.

Abstract: An electronic device and a method for selecting a feature of an electrocardiogram (ECG) are provided. The method includes: obtaining the ECG; performing a first pre-processing on the ECG to generate a first ECG; marking multiple extreme points corresponding to at least one type of wave on the first ECG; calculating a first feature value corresponding to a first feature according to the multiple extreme points of the at least one type of wave, generating a first performance index corresponding to a machine learning model according to the first feature value, and determining whether to select the first feature according to the first performance index; and outputting the first feature in response to selecting the first feature.

Abstract: A system for dispensing a gaseous fuel from a liquefied fuel and a method for operating such a system are provided. The system includes a storage tank, a pressure sensor, a dispenser, a temperature sensor, and a vapor supply unit. The storage tank stores a liquefied fuel including phases of liquid and vapor. The pressure sensor is configured to measure a vapor pressure inside the storage tank. The dispenser is configured to receive the liquefied fuel and dispense the gaseous fuel to a receiving tank. The temperature sensor is configured to measure temperature of the dispenser. The system further includes a vapor supply unit fluidly coupled with the storage tank and configured to provide the vapor of the liquefied fuel from the storage tank into the dispenser or in thermally contact with at least one portion of the dispenser.

Abstract: A nonflammable electrolyte comprises (a) at least four different salts; and a solvent comprising >50 vol % to 100 vol % of a flame retardant compound and optionally a cosolvent, wherein ((i) each salt comprises an anion with a different chemical composition than an anion of each of the other salts, (ii) cations of each of the salts are the same, the cations comprising lithium cations, sodium cations, or potassium cations, and (iii) a concentration of each of the salts is 5 mol % of a total molar concentration of the salts in the electrolyte; or (b) a difluoro(oxalato)borate or bis(oxalato)borate salt wherein a concentration of the salt is 40 mol % to 100 mol % of a total molar concentration of salts in the electrolyte, and a solvent comprising a flame retardant compound comprising an organic phosphate and a cosolvent comprising an organic carbonate solvent.

Abstract: Disclosed are compounds that possess inhibitory activity against LRRK2. Also disclosed are pharmaceutical compositions containing the compounds and methods of using the compounds to treat neurodegenerative diseases and disorders such as Parkinson's disease and brain cancer (e.g., gliomas and glioblastomas).

Abstract: A data processing method used in neural network computing is provided. During a training phase of a neural network model, a feedforward procedure based on a calibration data is performed to obtain distribution information of a feedforward result for at least one layer of the neural network model. During the training phase of the neural network model, a bit upper bound of a partial sum is generated based on the distribution information of the feedforward result. During an inference phase of the neural network model, a bit-number reducing process is performed on an original operation result of an input data and a weight for the neural network model according to the bit upper bound of the partial sum to obtain an adjusted operation result.

Abstract: A steering control device is provided to output a vehicle steering control signal to a wire-controlled vehicle. The wire-controlled vehicle generates a vehicle steering feedback signal corresponding to the vehicle steering control signal. The steering load drive unit is configured to feedback a steering feel to an operator. The response discrimination unit obtains a steering angle command, a steering angle feedback, and a vehicle velocity according to the vehicle steering control signal and the feedback signal, and performs a Fourier transform to obtain a steering angle gain and a steering angle phase to identify a response characteristic of the wire-controlled vehicle. The steering angle feedback, vehicle velocity, steering angle gain, and steering angle phase are inputted into a steering system model to simulate a steering load of the wire-controlled vehicle, and the steering load is inputted to the steering load drive unit to generate the steering feel.

Abstract: Provided are a system and a method of treating wastewater. The system includes a forward osmosis (FO) liquid concentration apparatus and an electrodialysis (ED) apparatus. The FO liquid concentration apparatus increases the concentration of the salt in the wastewater to between 7% and 14%. The ED apparatus is disposed downstream of the FO liquid concentration apparatus and coupled to the FO liquid concentration apparatus to receive the wastewater introduced by the FO liquid concentration apparatus, and make the salt in the wastewater into an acid solution and a basic solution.

Abstract: A non-pressure continuous blood pressure measuring device, comprises: a radar sensing module, an electro-cardiac sensing module and a microprocessor. The radar sensing module includes at least a transmitter and a receiver, the transmitter continuously provides a pulse wave signal to an artery, the receiver receives a reflected pulse wave signal. The electro-cardiac sensing module includes at least an electrode; the electro-cardiac sensing module receives an electro-cardiac signal through the electrode. The microprocessor is in signal transmittable connection with the radar sensing module and the electro-cardiac sensing module. The microprocessor controls the radar sensing module and the electro-cardiac sensing module, and simultaneously receives the reflected pulse wave signal and the electro-cardiac signal. The microprocessor determines a blood pressure parameter of the artery according to the reflected pulse wave signal and the electrocardiography signal.

Abstract: An electronic device and a method for detecting apnea are provided. The method includes: transmitting a wireless signal to a human subject, receiving an echo corresponding to the wireless signal, and obtaining channel state information (CSI) from the echo; generating a detection result according to the CSI; outputting the detection result. Here, the detection result indicates whether an apnea event has occurred on the human subject.

Abstract: Methods and apparatus for extracting one or more mechanical properties for a material based on one or more indentation parameters for the material. The method comprises receiving load-displacement data from one or more instrumented indentation tests on the material, determining, by at least one computer processor, the indentation parameters for the material based, at least in part, on the received load-displacement data, providing as input to a trained neural network, the indentation parameters for the material, determining, based on an output of the trained neural network, the one or more mechanical properties of the material, and displaying an indication of the determined one or more mechanical properties of the material to a user of the computer system.

Abstract: A biodegradable polyester and a method for preparing a biodegradable polyester are provided. The biodegradable polyester is a product of a reactant (A) and a reactant (B) via polycondensation. The reactant (A) is a product of a reactant (C) and a reactant (D) via an esterification reaction. The reactant (B) is at least one epoxy resin with a secondary hydroxyl functional group. The reactant (C) is at least one diol, and the reactant (D) is at least one dicarboxylic acid, at least one acid anhydride, or a combination thereof.

Abstract: A method for decolorization of polyester fabrics is provided. The method for decolorization of polyester fabrics includes putting polyester fabrics into an extraction cell. The method for decolorization of polyester fabrics also includes making a supercritical fluid and a co-solvent flow into the extraction cell. The method for decolorization of polyester fabrics further includes adjusting the temperature in the extraction cell to be greater than or equal to the glass transition temperature of the polyester fabrics, so that the supercritical fluid and the co-solvent perform a decolorization reaction on the polyester fabrics. Moreover, the method for decolorization of polyester fabrics includes making the supercritical fluid and the co-solvent flow out of the extraction cell. The method for decolorization of polyester fabrics also includes taking the polyester fabrics out of the extraction cell.

Abstract: Disclosed is a data processing device that processes unbalanced data, which includes a preprocessor that calculates a reference value based on a plurality of training data and target data, and a learner that applies the plurality of training data to a first weight model to generate first prediction data, calculates a loss value based on a first distance between the target data and the reference value and a second distance between the target data and the first prediction data, and updates the first weight model based on the calculated loss value, and the plurality of training data and the target data have an unbalanced distribution.