Abstract: An electronic device and a method for screening features for predicting a physiological state are provided. The method includes: obtaining multiple physiological data corresponding to multiple features; generating multiple first subsets of the multiple features according to the multiple physiological data based on a first model, wherein the multiple first subsets respectively correspond to the multiple physiological data; selecting a first feature from the multiple features according to the multiple first subsets, calculating a first relation index of the first feature and a second feature corresponding to the multiple features, and selecting the second feature as an accompanied feature of the first feature according to the first relation index; and outputting the first feature and the accompanied feature.

Abstract: A compound, a resin composition and a laminated substrate thereof are provided. The compound has a structure represented by Formula (I) wherein A1 is C24-48 alkylene group, C24-48 alkenylene group, C24-48 alkynylene group, C24-48 alicyclic alkylene group, C24-48 alicyclic alkenylene group, or C24-48 alicyclic alkynylene group. A2 is C2-12 alkylene group, C6-C25 arylene group with two reactive groups, C4-8 cycloalkylene group, C5-25 heteroarylene group, divalent C7-C25 alkylaryl group, divalent C7-25 acylaryl group, divalent C6-25 aryl ether group, or divalent C7-25 acyloxyaryl group; and, n?1.

Abstract: Embodiments described herein may be useful in the detection of analytes. The systems and methods may allow for a relatively simple and rapid way for detecting analytes such as chemical and/or biological analytes and may be useful in numerous applications including sensing, food manufacturing, medical diagnostics, performance materials, dynamic lenses, water monitoring, environmental monitoring, detection of proteins, detection of DNA, among other applications. For example, the systems and methods described herein may be used for determining the presence of a contaminant such as bacteria (e.g., detecting pathogenic bacteria in food and water samples which helps to prevent widespread infection, illness, and even death). Advantageously, the systems and methods described herein may not have the drawbacks in current detection technologies including, for example, relatively high costs, long enrichment steps and analysis times, and/or the need for extensive user training.

Abstract: Embodiments of the present invention provide for syntheses and uses of tri-substituted mono-hydrogen ferrocyanides for efficient hydroxyl radical generators. For example, the present invention provides for the syntheses of mono-hydrogen ferrocyanides of the general formula M3HFe(CN)6 in which iron has an oxidation number of +2 (ferro) and the positive counter-ion, M, belongs mainly to the group of the alkali metals such as Na+, K+ and Li+, or to organic alkyl cations such as imidazole derivatives.

Abstract: A cassette type electrodialysis unit includes an accommodating box, a filter membrane group and a cover member disposed on the accommodating box. The accommodating box includes a membrane support, a membrane limiting wall and an accommodating opening. The membrane limiting wall is disposed on and surrounds the membrane support to form the accommodation opening. The filter membrane group is disposed on the membrane support and abuts an inner side of the membrane limiting wall, and includes a first ion exchange membrane, a second ion exchange membrane and a spacer disposed therebetween. The cover member includes a main body, an opening penetrating the main body, and a pressing portion. A first side of the main body adjacent to the filter membrane group has a peripheral area and an inner area closer to the opening than the outer area, and the pressing portion is formed on the inner area.

Abstract: A data compression method, a data compression system and an operation method of a deep learning acceleration chip are provided. The data compression method includes the following steps. A filter coefficient tensor matrix of a deep learning model is obtained. A matrix decomposition procedure is performed according to the filter coefficient tensor matrix to obtain a sparse tensor matrix and a transformation matrix, which is an orthonormal matrix. The product of the transformation matrix and the filter coefficient tensor matrix is the sparse tensor matrix. The sparse tensor matrix is compressed. The sparse tensor matrix and the transformation matrix, or the sparse tensor matrix and a restoration matrix, are stored in a memory. A convolution operation result is obtained by the deep learning acceleration chip using the sparse tensor matrix. The convolution operation result is restored by the deep learning acceleration chip using the restoration matrix.

Abstract: A method for generating goods modeling data comprises obtaining a platform image associated with a platform, a plurality of first goods images and a plurality of second goods images, wherein the first goods images and the second goods images correspond to different viewing angles respectively, and an image synthesis processing is performed according to the platform image and at least one of the first goods images and the second goods images to generate a synthesized image. The synthesized image includes a plurality of adjacent or partially overlapping image areas which correspond to at least many of the viewing angles. The image areas include a first and a second image areas. The first image area includes one of the first goods images or one of the second goods images. The second image area includes one of the first goods images or one of the second goods images.

Abstract: The disclosure is directed to an image dehazing method and an image dehazing apparatus using the same method. In an aspect, the disclosure is directed to an image dehazing method, and the method would include not limited to: receiving an input image; dehazing the image by a dehazing module to output a dehazed RGB image; recovering image brightness of the dehazed RGB image by a high dynamic range (HDR) module to output an HDR image; and removing reflection of the HDR image by a ReflectNet inference model, wherein the ReflectNet inference model uses a deep learning architecture.

Abstract: Provided are a system and a method of treating wastewater. The system includes a wastewater chamber, positive and negative electrode chambers, acid and basic solution chambers and a buffer chamber. The wastewater chamber receives wastewater containing a first ion. The positive and the negative electrode chambers are respectively on opposite sides of the wastewater chamber. The acid chamber is between the wastewater chamber and the positive electrode chamber. The basic chamber is between the wastewater chamber and the negative electrode chamber. The buffer chamber is between one of the acid and the basic chambers and the wastewater chamber, and receives the buffer solution containing the first ion. The interfaces between the wastewater chamber and the buffer chamber and between the one of the acid and the basic chambers and the buffer chamber are ion exchange membranes having the same electrical properties.

Abstract: A processing element architecture adapted to a convolution comprises a plurality of processing elements and a delayed queue circuit. The plurality of processing elements includes a first processing element and a second processing element, wherein the first processing element and the second processing element perform the convolution according to a shared datum at least. The delayed queue circuit connects to the first processing element and connects to the second processing element. The delayed queue circuit receives the shared datum sent by the first processing element, and sends the shared datum to the second processing element after receiving the shared datum and waiting for a time interval.

Abstract: The present specification provides compositions and methods that are capable of directly installing an insertion or deletion of a given nucleotide at a specified genetic locus. The compositions and methods involve the novel combination of the use an engineered RNA enzyme (i.e., “ribozyme”) that is capable of site-specifically inserting or deleting a single nucleotide at a genetic locus and the use of a nucleic acid programmable DNA binding protein (napDNAbp) (e.g., Cas9) to target the engineered ribozyme to a specified genetic locus, thereby allowing for the direct installation of an insertion of deletion at the specified genetic locus by the engineered ribozyme.

Abstract: An electronic device and a method for predicting a blockage of a coronary artery are provided. The method includes: obtaining multiple pieces of electrocardiogram (ECG) data respectively corresponding to a coronary artery set; generating multiple first probabilities corresponding to the multiple pieces of electrocardiogram data respectively according to the multiple pieces of electrocardiogram data and a first phase model, generating a first determined result according to the multiple first probabilities, and selecting a first data subset corresponding to a first probability subset from the multiple pieces of electrocardiogram data in response to each one in the first data subset of the multiple first probabilities being greater than a first threshold; generating multiple second probabilities corresponding to the first data subset according to the first data subset and a second phase model, and generating a second determined result according to the multiple second probabilities.

Abstract: The reaction between aluminum metal and water holds promise for producing hydrogen; however, solid aluminum metal is difficult to manage and use, and the reactivity between aluminum and water is often difficult to control. Certain embodiments of the disclosure are related to a water-stable aluminum slurry comprising a plurality of activated aluminum particles dispersed in a fluid carrier. In some embodiments, the reactivity of the aluminum slurry in the presence of water may be easily controlled with the addition of various additives (e.g., surfactants). Additionally, methods of making and using the water-stable aluminum slurry to controllable manage the reactivity between aluminum and water are presented herein.

Abstract: A simulation method and system for real-time simulation using digital twin agent are disclosed. The simulation method may include generating a digital twin object cyberizing a manufacturing resource required for a process based on manufacturing resource information, mapping a learning model onto the digital twin object and transmitting the learning model mapped onto the digital twin object to a digital twin agent, receiving information analyzed by using the learning model from the digital twin object of the digital twin agent, and performing a simulation based on the received information.

Abstract: The present invention discloses a micro-sized face-up LED device with a micro-hole array and preparation method thereof. The LED device is prepared based on a GaN-based epitaxial layer and includes a GaN-based epitaxial layer, a current spreading layer, a P electrode, an N electrode and a passivation layer; the GaN-based epitaxial layer including a substrate, an N-type CaN layer, i.e., an N-GaN layer, a multiple quantum well layer (MQW), and a P-type GaN layer, i.e., a P-GaN layer; and the N-GaN layer including an etched exposed N-GaN layer and an etched formed N-GaN layer. The present invention improves luminescence efficiency while ensuring the device modulation bandwidth; and after the micro-hole array is etched by ICP, a sample continues to be etched by using the current spreading layer etching liquid to prevent the leakage caused by the expansion of the current spreading layer in the etching process.

Abstract: A method and device for detecting an illegal unmanned aerial vehicle (UAV) using a radio wave wall are provided. The method includes generating a radio wave wall between a plurality of reconnaissance UAVs that include a first reconnaissance UAV and second reconnaissance UAVs, using one or more wireless signals transmitted and received between the plurality of reconnaissance UAVs, and determining whether an illegal UAV enters the radio wave wall based on radio signal strengths of wireless signals received from the second reconnaissance UAVs.

Abstract: A polymer, a composition, and a polysiloxane-polyimide material thereof are provided. The polymer includes a first repeat unit and a second repeat unit. The first repeat unit has a structure represented by Formula (I) and the second repeat unit has a structure represented by Formula (II) wherein A1 and A3 are independently tetravalent moiety; A2 is a divalent moiety; n?1; m?1; R1 is independently hydrogen, C1-8 alkyl, C1-8 fluoroalkyl, C1-8 alkoxy, or C6-12 aryl; and R2 is independently hydrogen, C1-8 alkyl, C1-8 fluoroalkyl, C1-8 alkoxy, C6-12 aryl, or a reactive functional group.

Abstract: The purpose of the present invention is to provide a method for synthesizing ammonia and an apparatus for the method. The method for synthesizing ammonia according to the present invention comprises: a step of melting a metal containing at least an alkali metal; and a step of supplying a hydrogen gas and a nitrogen gas to the molten metal.

Abstract: Disclosed is a method for manufacturing a large-area thin-film solid oxide fuel cell, the method including: preparing an anode support slurry, an anode functional layer slurry, an electrolyte slurry, and a buffer layer slurry for tape casting; preparing an anode support green film, an anode functional layer green film, an electrolyte green film, and a buffer layer green film by tape casting the slurries onto carrier films; staking the green films, followed by hot press and warm iso-static press (WIP), to prepare a laminated body; and co-sintering the laminated body.

Abstract: Provided is an apparatus for refining data and improving the performance of a behavior recognition model by reflecting time-series characteristics of a behavior. The apparatus includes: a data pre-processing unit configured to receive training data and real-time data as input, identify a missing value of sensor data, and interpolate the sensor data; a behavior recognition unit configured to, through a behavior recognition model, generate a behavior recognition classification result for the preprocessed real-time data; a data refinement unit configured to correct the behavior recognition classification result to generate a refined dataset; a learning model update unit configured to analyze a similarity of the refined dataset and, based on a result of the analysis, perform learning to generate the behavior recognition model; and an information output unit configured to express a corrected behavior recognition result to a user.