Abstract: Systems and methods of performing temperature swing solvent extraction (TSSE) descaling of produced water and desalination of high-salinity brines, e.g., those having a total dissolved solids (TDS) greater than about 250,000 ppm are capable of producing descaled water products including less than about 5% weight percent TDS. The brine/produced water feedstreams and combined with a solvent having temperature-dependent water solubility at a temperature TL. Water is extracted from the feedstream into the solvent to form a water-in-solvent extract component and a raffinate component, from which a solid phase can be precipitated as more water is portioned in the solvent and basicity increases. Heating of the water-in-solvent extract component reduces the solubility of the water therein, producing a biphasic mixture of dewatered solvent and descaled water that can be separated.

Abstract: A system and method for using sparsity to accelerate deep learning networks. The method includes: communicating a bit vector to a scheduler identifying which values in an input tensor are non-zero; for each lane of the input tensor, determining which values are to be communicated for multiply-accumulate (MAC) operations, the determination including directing performance of one of: communicating the current value in the lane; communicating the next value in the same lane where such value is non-zero; communicating a value from a step ahead in time where such value is non-zero; and communicating a value from a neighboring lane where such value is non-zero; and outputting the values of the MAC operations.

Abstract: The present disclosure discloses a method for deriving fault diagnosis rules of a blast furnace based on a deep neural network, which relates to the field of industrial process monitoring, modeling and simulation. Firstly, a deep neural network is used to model historical fault data of the blast furnace. Then, for each kind of fault, the process starts from the output layer of the network, wherein sub-models of nodes in the adjacent layers in the deep neural network are established by using the decision tree in sequence, and the if-then rule is derived. Finally, the if-then rules are merged layer by layer, so as to finally obtain fault diagnosis rules of the blast furnace with blast furnace process variables being the rule antecedents and with fault categories being the rule consequents.

Abstract: A method and apparatus for generating additional information used to reconstruct an additional image through steps of: generating information for movement compensation based on the original right image of the stereoscopic image and the previous frame of the right image; and generating first additional information for reconstructing the right image to a high resolution based on the original right image and the information for movement compensation are provided.

Abstract: The present application relates to a real-time measurement method and system for ultrafast space-time-frequency three-domain information based on space-time-frequency compression.

Abstract: A method of removing pollutants from flue gas includes cooling the flue gas to remove condensed water. The flue gas is then compressed and dehydrated. The dehydrated flue gas is chilled to separate pollutants.

Abstract: An automatic overclocking controller based on circuit delay measurement is provided, including a central processing unit (CPU), a clock generator, and a timing delay monitor (TDM) controller. Compared with the prior art, the present disclosure has following innovative points: A two-dimension-multi-frame fusion (2D-MFF) technology is used to process a sampling result, to eliminate sampling noise, and an automatic overclocking controller running on a heterogeneous field programmable gate array (FPGA) can automatically search for a highest frequency at which an accelerator can operate safely.

Abstract: A compound 2,4-dichloro-N-[(3-chlorophenyl)carbamothioyl]benzamide, its synthesis, and its use as an insecticidal agent.

Abstract: A method and system for detecting a typical object of a transmission line based on UAV federated learning. The method includes: determining a detection model for a typical object of a transmission line by YOLOv3 object detection algorithm according to a prior database for the typical object; dividing a UAV network into multiple federated learning units; acquiring pictures, taken by the UAV network, of the typical object and tags corresponding to each picture to determine a training database; training, based on Horovod framework and FATE federated learning framework, each federated learning unit according to the training database and the detection model for the typical object, and determining the trained UAV network according to the trained federated learning unit; and determining, by the trained UAV network, the typical object in each picture. A congestion of communication links is avoided, thereby improving detection efficiency.

Abstract: A [3-(4-methoxyphenyl)-1,2,4-oxadiazol-5-yl]methanol compound, its synthesis, and its use as an anticancer and/or antimicrobial agent.

Abstract: The present invention relates to a serverless computing method and apparatus, and more particularly, to a serverless computing method and apparatus using mutual monitoring between network edges. The serverless computing method according to one embodiment of the present invention comprises monitoring, by an event handler of the first network edge, an event occurring in the second network edge, generating, by an event generating module of the second network edge, an event response signal through filtering on the event in response to the event occurring, transmitting, by an event delivery module of the second network edge, the event response signal to the event handler of the first network edge, and scaling an application, by an auto-scaler, in the first network edge based on the event response signal.

Abstract: A nano-sized [4{3,4-bis-[(5-bromo-2-hydroxy-benzylidene)-amino]-phenyl}-phenyl-methanone] Ru(III) complex, its synthesis, and its use as an anticancer, antioxidant, and antimicrobial agent.

Abstract: A system is configured for receiving force data including at least one value indicating the amount of the force applied to the portion of the user and at least one value indicating a direction of the force applied to the portion of the user; obtaining mapping data specifying at least one relation between values of force applied to the portion of the user and changes in a functional responsiveness, functional and/or structural integrity, or both the functional responsiveness and the functional and/or structural integrity of the brain at one or more locations in the brain; estimating, based on the mapping data and the force data, an amount of force loading at one or more particular locations in the brain; and generating, based on the estimating, output data representing an amount of the damage to the brain at the one or more particular locations in the brain.

Abstract: 3D MRI images of the brain may be created and acquired. After administration of contrast, brain lesions and other abnormalities may be identified and isolated from the 3D MRI images, with each lesion serving as a region of interest (ROI). 3D region of contrast enhancement images may be created from segmented 3D MRI images and different regions of contrast enhancement of the brain lesion may be depicted. Saved regions of contrast enhancement may be converted into stereolithography format, maximum intensity projection (MIP) images, and/or orthographic projection images. Data corresponding to these resulting 3D region of contrast enhancement images may be used to create 3D printed models of the isolated region of contrast enhancement. Analysis of the 3D brain region of contrast enhancement images and the 3D printed region of contrast enhancement models may enable a more efficient and accurate way of determining brain lesion risk factors and effective treatment regimens.

Abstract: Methods and systems are provided for measuring anatomical dimensions from a single two-dimensional (2D) digital image. The digital image is taken from the front/anterior view using a mobile, handheld communication device. The linear measurements are used to estimate the body volume of the individual. Total body density is calculated from estimated body volume and body weight. Body composition (fat mass and fat-free mass) of the individual is derived from density using known mathematical conversion formulas. A method for estimating body composition analysis is provided. Systems and methods are provided that determine an individual's fitness by determining body composition of the individual using a picture of the individual, determining the individual's VO2 max based on the individual's movement (e.g., walking and/or running a measured distance over a measured amount of time), and determining the individual's fitness based on the body composition and the determined VO2 max.

Abstract: The present application provides an image stitching method, apparatus and device based on reinforcement learning and a storage medium. The method includes: acquiring initial calibration parameters, collecting a sample image and position information of a motion platform; setting a negative reward function; acquiring a state set and a negative reward value set according to a randomly generated action set, the initial calibration parameters, the position information of the motion platform and the negative reward function to construct a probability kinematics model; constructing a state value function based on an occurrence probability of the state, and acquiring an optimal action by optimizing the state value function; and acquiring optimized calibration parameters through the optimal action and the initial calibration parameters, and carrying out image stitching on corresponding sample images through the optimized calibration parameters.

Abstract: The present disclosure discloses a rapid measuring device and a measuring method for permanent magnet failure temperature. The device includes a measurement system (1), an infrared thermal imager (2), a vacuum Hall probe (3) and a laser heating device (4). A permanent magnet (5) is used as a sample. These components work together to achieve rapid and accurate measurement of the failure temperature of the permanent magnet sample (5). The present disclosure uses light heating, infrared thermal imaging and surface magnetic field measurement. The heating speed is fast, the temperature measurement is accurate, and the failure temperature measurement of large permanent magnet materials can be achieved.

Abstract: A tunable grounded positive and negative active inductor simulator and impedance multiplier circuit and a method for implementing the tunable grounded positive and negative active inductor simulator and impedance multiplier circuit are described. The circuit includes one second generation voltage-mode conveyor circuit (VCII+), a voltage source configured to generate an output current, a first impedance, a second impedance and an operational transconductance amplifier OTA. The first impedance is connected between the voltage source and the positive VCII+ input terminal, Y. The second impedance is connected between the second output terminal and a ground terminal. The OTA is configured to have a transconductance gain. The circuit is configured to be tuned by a selection of values for the first and second impedances.

Abstract: Novel pyrazolo[1,5-c]pyrido[3,4-e]pyrimidine compounds, a method of synthesizing said compounds, a pharmaceutical composition comprising said compounds and a suitable carrier, and a method of using the compounds. The pyrazolo[1,5-c]pyrido[3,4-e]pyrimidine compounds, identified as CK2 inhibitors, are useful as anticancer and/or antitumor agents, and as agents for treating other kinase-associated conditions including inflammation, pain, and certain immunological disorders, and other types of diseases such as diabetes, viral infection, neurodegenerative diseases.

Abstract: A method for selecting a recommended node in a behavior deviation model includes: determining a candidate path starting from a delegation node to a target node based on a preset network topology; determining candidate recommended nodes passing through each candidate path, and acquiring a first behavior deviation corresponding to the target node at each candidate node; reading a second behavior deviation of each candidate recommended node from a central node in the network topology; calculating an average deviation value for the target node based on second behavior deviations and first behavior deviations; determining a candidate path with the smallest average deviation value as a target candidate path; and in response to the average deviation value of the target candidate path being less than or equal to a preset warning value, determining the candidate recommended node on the target candidate path as a recommended node.