Abstract: The present disclosure provides a method for recycling urea-formaldehyde (UF) from a wood-based panel. In the present disclosure, the UF is depolymerized by an ultrasonic treatment, and depolymerized UF can be reused for UF manufacture and wood-based panel production. The recycled and treated UF can be repeatedly used in wood-based panel manufacture without affecting performances of the wood-based panel. UF-glued wood-based panels can be recycled, and a recycled wood-based panel raw material can replace at least 50% of a non-recycled wood-based raw material for particle board production without affecting performances of the wood-based panel.

Abstract: A non-invasive time domain reflection probe calibration method includes: using different volume ratio of ethanol and deionized water mixed solution to calculate a test target's medium weight coefficient and waveguide length of the non-invasive time domain reflection probes; using different concentrations of NaCl solutions to calibrate a waveguide geometric dimensioning of the non-invasive time domain reflection probes; preparing compacted soil samples with known different moisture contents and densities, and calibrating a correlation parameter of compacted soil samples' dielectric constant and conductivity with moisture content and density. The method not only determines the sensitivity of the test target medium of the non-invasive time domain reflection probes, but also obtains the waveguide length and geometric dimensioning of the probe, and realizes an accurate test of moisture content and density of the soil.

Abstract: A biochemical analysis system capable of sample preparation and processing can include at least one inlet channel having a non-fouling, slippery surface to autonomously transport a fluid sample to a chamber by a geometry of the at least one inlet channel. The at least one inlet channel can include a first end, which is open and exposed, and a second end connected to the chamber for mixing and reaction of the fluid sample, and the at least one inlet channel can include a converging or diverging angle.

Abstract: A computer system, product, and method are provided. The computer system includes an artificial intelligence (AI) platform operatively coupled to a processor. The AI platform includes tools in the form of a machine learning model (MLM) manager, a metric manager, and a training manager. The MLM manager accesses a plurality of pre-trained source MLMs, and inputs a plurality of data objects of a test dataset into each of the source MLMs. The test dataset includes the plurality of data objects associated with respective labels. For each source MLM, associated labels are generated from the inputted data objects and a similarity metric is calculated. The MLM manager selects a base MLM to be used for transfer learning from the plurality of source MLMs based upon the calculated similarity metric. The training manager trains the selected base MLM with a target dataset for the target domain.

Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.

Abstract: A method for enhancing compressive strength of a lead smelting water-quenched slag-based cementitious material by mechanical activation is provided, belonging to the technical field of solid waste resource treatment. The method includes following steps: grinding and activating water-quenched slag from lead smelting, then mixing with calcium-based solid waste, magnesium-based solid waste, magnesium oxide, portland cement and water, and performing a steam curing and a curing at normal temperature on cementitious material slurry obtained to obtain the lead smelting water-quenched slag-based cementitious material.

Abstract: From metadata of a corpus of natural language text documents, a relativity matrix is constructed, a row-column intersection in the relativity matrix corresponding to a relationship between two instances of a type of metadata. An encoder model is trained, generating a trained encoder model, to compute an embedding corresponding to a token of a natural language text document within the corpus and the relativity matrix, the encoder model comprising a first encoder layer, the first encoder layer comprising a token embedding portion, a relativity embedding portion, a token self-attention portion, a metadata self-attention portion, and a fusion portion, the training comprising adjusting a set of parameters of the encoder model.

Abstract: A device for a creep test and a test system and a method using the device are provided. The device for the creep test includes a device frame, a test piece clamp, a load loading mechanism and linear displacement sensors. A test piece is arranged in a middle of the test piece clamp. A first end of the test piece clamp is a fixed end, a position of the fixed end is unchanged relative to the device frame. A second end of the test piece clamp is a movable end. The load loading mechanism includes a pulley block and a load. A system for a tensile and compressive creep test includes a box body which is sealable. The box body is provided with a box door which is provided with a constant temperature and humidity device. The device for the creep test is arranged in the box body.

Abstract: Provided is a computer-implemented method, system, and computer program product for generating a goal-oriented dialogue from a grounding document. A processor may analyze a corpus of text. The processor may identify, based on the analyzing, one or more semantic structures that can be used to simulate a dialogue. The processor may generate, based on the identifying, a simulated dialogue, the simulated dialogue including one or more utterances from a simulated agent and one or more utterances from a simulated user to form a dialogue flow.

Abstract: A composite heat dissipation device includes an electromagnetic radiation dissipation pile including a polar dielectric material assembly including a plurality of polar dielectric material units. The polar dielectric material assembly is configured to interact with solar radiation. Surfaces of the polar dielectric material units each are configured to interact with the solar radiation to generate scattering of light. The polar dielectric material units each include an optical phonon configured to interact with thermal radiation to increase strength of the thermal radiation.

Abstract: The present disclosure provides a modified deodorant urea-formaldehyde (UF) resin and use thereof, as well as a particleboard and a preparation method thereof, and relates to the technical field of wood-based panels. Raw materials for preparing the modified deodorant UF resin provided by the present disclosure include: melamine-modified UF resin (MUF), aluminum ammonium sulfate dodecahydrate, wax, and water. Raw materials for preparing the MUF include: urea, formaldehyde, and melamine. When the modified deodorant UF resin provided by the present disclosure is used to prepare wood-based panels, the aluminum ammonium sulfate dodecahydrate losses 12 crystal water during hot pressing to form a metastable structure NH4Al(SO4)2, in which NH4+ can react with the formaldehyde to reduce formaldehyde emission, and NH4+ and A13+ can absorb hydroxyl groups of organic substances to form hydrogen bonds to reduce odor of the wood-based panels.

Abstract: Techniques facilitating interpretation of deep neural model based dialogue agents are provided. In one example, a computer-implemented method comprises extracting, by a device operatively coupled to a processor, features from a dialogue model independently from the dialogue model, the features comprising input features provided to the dialogue model and output features produced via the dialogue model in response to the input features, resulting in extracted features; and analyzing, by the device, a dialogue context associated with the extracted features by identifying pairwise interactions between respective ones of the extracted features.

Abstract: The present disclosure relates to the technical field of resource recycling and provides a processing method for a waste oriented strand board and waste oriented wood chips, and an oriented strand board preparation method thereof. The processing method for a waste oriented strand board provided in the present disclosure includes the following steps: softening a waste oriented strand board to obtain a softened waste oriented strand board; and flaking the softened waste oriented strand board pieces using a disc flaker to obtain waste oriented wood chips. According to the present disclosure, the waste oriented strand board is softened first to be chipped readily. It is specified in the present disclosure that the disc flaker is used such that relatively intact wood chips can be obtained.

Abstract: A thermal radiation heat dissipation device for an electronic component includes a heat dissipation substrate including a heat dissipation surface having a heat dissipation surface emissivity; and an emissivity modulation layer disposed on the heat dissipation surface including an emissivity modulation layer surface having an emissivity modulation layer surface emissivity. The emissivity modulation layer surface emissivity is greater the heat dissipation surface emissivity.

Abstract: A composite heat dissipation device includes an electromagnetic radiation dissipation pile including a polar dielectric material assembly including a plurality of polar dielectric material units. The polar dielectric material assembly is configured to interact with solar radiation. Surfaces of the polar dielectric material units each are configured to interact with the solar radiation to generate scattering of light. The polar dielectric material units each include an optical phonon configured to interact with thermal radiation to increase strength of the thermal radiation.

Abstract: A thermal radiation heat dissipation device includes a radiation heat transfer pile including a plurality of polar dielectric material units of high energy gap, the polar dielectric material units each including at least one light scattering unit and a thermal radiation unit. The light scattering unit interacts with solar radiation to generate scattering of light. The thermal radiation unit interacts with thermal radiation to increase strength of thermal radiation.

Abstract: From metadata of a corpus of natural language text documents, a relativity matrix is constructed, a row-column intersection in the relativity matrix corresponding to a relationship between two instances of a type of metadata. An encoder model is trained, generating a trained encoder model, to compute an embedding corresponding to a token of a natural language text document within the corpus and the relativity matrix, the encoder model comprising a first encoder layer, the first encoder layer comprising a token embedding portion, a relativity embedding portion, a token self-attention portion, a metadata self-attention portion, and a fusion portion, the training comprising adjusting a set of parameters of the encoder model.

Abstract: Techniques facilitating interpretation of deep neural model based dialogue agents are provided. In one example, a computer-implemented method comprises extracting, by a device operatively coupled to a processor, features from a dialogue model independently from the dialogue model, the features comprising input features provided to the dialogue model and output features produced via the dialogue model in response to the input features, resulting in extracted features; and analyzing, by the device, a dialogue context associated with the extracted features by identifying pairwise interactions between respective ones of the extracted features.

Abstract: A computer system, product, and method are provided. The computer system includes an artificial intelligence (AI) platform operatively coupled to a processor. The AI platform includes tools in the form of a machine learning model (MLM) manager, a metric manager, and a training manager. The MLM manager accesses a plurality of pre-trained source MLMs, and inputs a plurality of data objects of a test dataset into each of the source MLMs. The test dataset includes the plurality of data objects associated with respective labels. For each source MLM, associated labels are generated from the inputted data objects and a similarity metric is calculated. The MLM manager selects a base MLM to be used for transfer learning from the plurality of source MLMs based upon the calculated similarity metric. The training manager trains the selected base MLM with a target dataset for the target domain.

Abstract: A method of providing real-time speech analysis to a user includes capturing a speech input, performing a real-time recognition of the speech input including converting the speech input to a text, analyzing the recognized speech input to identify an error in a voice of the user, the analyzing including comparing a voice of a correct text generated by an automated speech generation system with the captured speed input, and processing the text to extract a context dialog prompt.