93718 results about "Chemistry" patented technology

A vacuum insulating panel may include: a first substrate; a second substrate; a plurality of spacers provided in a gap between at least the first and second substrates, wherein the gap is at pressure less than atmospheric pressure; a pump-out / evacuation tube extending at least partly into an aperture in one of the substrates; and a pump-out / evacuation tube seal. The pump-out / evacuation tube seal may include at least one of: (a) from about 20-80 wt. % tellurium oxide, the tellurium oxide comprising TeO4 and TeO3, wherein the pump-out tube seal comprises more TeO3 than TeO4 by wt. %; and / or (b) tellurium oxide and from about 10-50 wt. % vanadium oxide, wherein the pump-out tube seal by wt. % comprises more tellurium oxide than vanadium oxide, and wherein the vanadium oxide comprises VO2 and V2O5, and wherein more V in the pump-out tube seal is in a form of VO2 than V2O5. A substantially donut-shaped laser beam may be used to heat pump-out tube material in order to form a pump-out tube seal.

The invention discloses a method for in vitro slow release performance evaluation of a slow and controlled release preparation based on the overflow principle. A container with an upper outlet and a lower outlet is adopted to serve as a release tank, a to-be-detected medicine and a dissolution medium are placed in the release tank, a stirring device is adopted in the release tank to perform stirring, and the dissolution medium is added from the lower outlet of the release tank through a peristaltic pump; the dissolution medium dissolved with the medicine is taken away through the overflow from the upper outlet so as to offset medicine absorption or metabolism, and the slow and controlled release speed of the medicine, the total medicine overflow quantity and the total release amount are calculated by measuring the concentration of the medicine contained in the dissolution medium flowing out, the volume of the release tank and the overflow quantity. According to the method, the releasing degree of the slow and controlled release medicine can be evaluated accurately, the effective medicine release time of the slow and controlled release preparation is evaluated, and slow release performances of the slow and controlled release preparation are evaluated comprehensively.

The invention belongs to the field of biochar adsorbing materials, and relates to a method for preparing modified biochar with aquatic plant waste and hematite. The method includes the following steps: (1) naturally drying aquatic plants prior to crushing to obtain aquatic plant powder; (2) crushing the hematite to obtain hematite powder; (3) weighing the hematite powder prior to putting the hematite powder into deionized water, and performing ultrasonic treatment to obtain suspension; (4) weighing the aquatic plant powder, soaking the aquatic plant powder in the suspension, and stirring and drying to obtain fully mixed aquatic plant and hematite mixture; (5) weighing the fully mixed aquatic plant and hematite mixture, putting the mixture in a batch-type atmosphere furnace, and feeding nitrogen into the furnace; performing temperature programming to the target temperature, and maintaining final-temperature pyrolysis; after the pyrolysis process is finished, obtaining the target product, namely the modified biochar. The modified biochar has strong adsorbability in nitrate and phosphate, high in stability and reusable.

Methods and analyte sensors including at least a first working electrode having a first active area thereon, and performing a dip coating operation to deposit a bilayer membrane upon the first working electrode and the first active area. The bilayer may include an inner layer having a first membrane polymer and an outer layer having a second membrane polymer, the first membrane polymer and the second membrane polymer differing from one another. The dip coating operation may comprise one or more first dips in a first membrane formulation to form the inner layer of the bilayer membrane and one or more second dips in a second membrane formulation to form the outer layer of the bilayer membrane upon the inner layer.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

The invention discloses a radiator salt spray corrosion life prediction method based on dynamic time warping, which belongs to the technical field of material corrosion test and life prediction, and comprises the following steps: collecting time sequence data of surface impedance and thermal resistance change of a radiator, constructing a dual-channel corrosion characteristic data set, and recording a salt spray concentration data value. The temperature data value and the humidity data value are combined, and an environment sensitivity weight vector is established. Accelerated corrosion in a salt spray environment is simulated, a laboratory accelerated corrosion test spectrum is generated, meanwhile, an actual environment fluctuation spectrum is monitored, the two spectrums are aligned by using a weight vector, accelerated corrosion data are obtained, and a basic life prediction value is calculated. And calculating an environment-structure coupling factor by combining the interaction between the three-dimensional structure characteristic parameters of the radiator and the temperature and humidity data values, correcting the basic life prediction value, and generating a final life prediction result. According to the method, double-channel feature alignment and coupling factor correction are adopted, and the corrosion life of the radiator of the specific structure under the actual working condition can be predicted.

The invention discloses a milk industry knowledge question-answering method and device based on a large model and RAG and a medium, and the method comprises the steps: collecting multi-source heterogeneous data of the milk industry, carrying out the term protection word segmentation processing of the multi-source heterogeneous data, and generating a labeled field corpus; based on a pre-training language model base, through a domain corpus injection and adversarial learning mechanism in a domain corpus, generating an enhanced language model adapted to the dairy industry terminology; receiving a milk industry problem of a user, executing semantic vector retrieval and term extension retrieval in parallel, and screening a multi-modal retrieval result through a dynamic sorting algorithm; and splicing the multi-modal retrieval result and the milk industry question into an enhanced prompt, inputting the enhanced prompt into an enhanced language model, generating a final answer corresponding to the milk industry question, and associating the final answer with a knowledge source.

An example operation may include one or more of executing an interaction with an account device about a first topic of interest and a chatbot within a chat element, wherein the interaction comprises an exchange of content between the account device and the chatbot within the chat element, receiving an interaction data from the account device within the chat element; determining that the interaction data is a second topic of interest based on an execution of an artificial intelligence model on the interaction and the first topic of interest, generating a chatbot response to the interaction data based on the execution of the artificial intelligence model on a state of the interaction prior to receipt of the interaction data, and outputting the chatbot response within the chat element.

Systems and methods are provided for targeting one or more features in a region of interest, and efficiently removing the features from an array of features. The systems and methods can remove one or more beads that contain analytes, intermediate agents, or a combination thereof, from the region of interest of a substrate by emitting light toward the beads on the substrate.

Described herein are systems and methods for analyzing biological samples. Including a method for processing an analyte, comprising providing a fluidic device comprising the analyte and one or more polymer precursors; selecting a discrete area within said fluidic device; providing an energy source in optical communication with fluidic device; and selectively supplying a unit of energy generated from the energy source to the fluidic device to generate a polymer matrix within the fluidic device, wherein the polymer matrix is within the discrete area or adjacent to the discrete area.

The invention discloses an altered mineral analysis-based prospecting target prediction method and system, and relates to the technical field of prospecting target prediction. An altered mineral analysis-based prospecting target prediction system comprises a data acquisition module, a clustering analysis module, an alteration combination discrimination module, a spatial modeling module, a space-time coupling module and a metallogenic evaluation module. According to the method, altered minerals and symbiotic combinations of the altered minerals are subjected to layered clustering treatment by introducing mineral thermodynamic phase diagram constraints, multi-stage superposed alteration information in a complex structure area is effectively analyzed, and a mineral symbiotic combination structure model with cause difference expression ability is established; by constructing cause period labels and forming a time sequence decoupling model, systematic distinguishing of alteration bodies formed under the mineralization effect of different times is achieved, and a time sequence basis is provided for identification of the multi-stage mineralization process.

Process condition management facilitates the combination of dry development and etching into a single process chamber; eliminating the necessity for a post-dry development bake step during semiconductor manufacturing. Methods and apparatuses for rapidly instituting a large drop in process chamber pressure allow thermal dry development and an O2 flash treatment or thermal dry development and plasma hardmask open operations to take place without wafer transfer.

The invention discloses a photovoltaic module cleaning method and device based on image processing and electronic equipment, and belongs to the technical field of photovoltaic power generation. The method comprises the following steps: acquiring operation information, a visible light image, a near-infrared image and thermal imaging data of a photovoltaic module; the operation information, the visible light image, the thermal imaging data and the near-infrared image are input into a hot spot detection model, a hot spot detection result, output by the hot spot detection model, of the photovoltaic module is obtained, the hot spot detection result comprises a hot spot area and a hot spot level, and the hot spot detection model is obtained based on a plurality of first training samples; the first training sample comprises sample operation information, a sample visible light image, sample thermal imaging data, a sample near-infrared image and a hot spot detection label of the sample photovoltaic module; acquiring environment information and dust information of dust attached to the photovoltaic module, wherein the dust information comprises a dust type and an attachment form; the environment information, the dust information and the hot spot detection result are input into a dust cleaning prediction model, cleaning parameters of each hot spot output by the dust cleaning prediction model are obtained, and the dust cleaning prediction model is obtained based on a plurality of second training samples; the second training sample comprises sample environment information, sample dust information, a hot spot detection label and a cleaning parameter label of the sample photovoltaic module; and cleaning the photovoltaic module based on the cleaning parameters. According to the method, different types of dust can be effectively cleaned, and the dust cleaning effect of the photovoltaic module is improved.

A vacuum insulating panel includes first and second substrates (e.g., glass substrates), a hermetic edge seal, a pump-out port, and spacers sandwiched between at least the two substrates. The gap between the substrates may be at a pressure less than atmospheric pressure to provide insulating properties. The vacuum insulating panel may include a multi-layer edge seal structure, including at least one layer including boron oxide (e.g., B2O3 or any other stoichiometry).

The invention relates to the technical field of medicine quality detection, and particularly discloses an optical detection method and system for the content of vitamin tablets. The method comprises the following steps: driving an optical fiber probe array to carry out three-dimensional multi-angle near-infrared scanning through a multi-axis mechanical arm, and collecting reflection spectrum data; a weighted spectrum is generated through derivative spectrum analysis and double evaluation, and auxiliary material noise is corrected and separated in combination with subspace projection and a dynamic kernel function; performing spectral vector projection and regression coefficient iterative optimization through an online PLS model, and synthesizing an error coefficient based on a four-level index retrieval standard library to perform dual-channel feedback; and finally, fusing the credibility weight to output a detection result of the binding confidence. The method realizes nondestructive and high-precision detection of the vitamin tablets, has the beneficial effects of multi-dimensional data fusion, dynamic error compensation and high model adaptability, and remarkably improves the detection accuracy and reliability.

The invention discloses an SF6 gas leakage detection method and system based on a photoacoustic spectrum analyzer, and the method comprises the steps: arranging a sampling end to collect an SF6 gas sample, and obtaining stable gas input through constant-current sampling and steady-state pretreatment; steady-state gas is guided into the photoacoustic spectrum analyzer, and resonance frequency stabilization and signal amplification output are achieved through the self-tuning unit; executing double-microphone differential detection and digital filtering processing, and outputting a stable SF6 detection signal with a high signal-to-noise ratio; performing time calibration, abnormity elimination and consistency processing on the detection signal to generate standardized detection data; inputting the standardized data to a Transform model, and performing inversion to generate an SF6 leakage source position and a diffusion path; and displaying an inversion result on a monitoring interface, triggering a sound-light alarm when the inversion result exceeds a limit, and uploading the inversion result to a cloud monitoring platform. According to the invention, the intelligent photoacoustic spectrum system combining photoacoustic-fluid steady-state control and self-tuning detection is constructed, so that high-sensitivity detection and accurate positioning of SF6 gas leakage are realized.

Methods and analyte sensors including at least a first working electrode having a first active area thereon, and performing a dip coating operation to deposit a bilayer membrane upon the first working electrode and the first active area. The bilayer may include an inner layer having a first membrane polymer and an outer layer having a second membrane polymer, the first membrane polymer and the second membrane polymer differing from one another. The dip coating operation may comprise one or more first dips in a first membrane formulation to form the inner layer of the bilayer membrane and one or more second dips in a second membrane formulation to form the outer layer of the bilayer membrane upon the inner layer.

The invention provides a performance optimization and regulation method for a high-temperature sintering furnace, and belongs to the technical field of intelligent regulation, and the performance optimization and regulation method comprises the following steps: arranging sensors in each heating area of the high-temperature sintering furnace, and monitoring the heating areas in real time; constructing a heating area operation state database, comparing the collected real-time data with a preset sintering process parameter range, and analyzing to obtain a performance analysis set of each heating area; establishing a three-dimensional heat conduction model, simulating heat flow distribution of each heating area under different heating powers and temperature settings, determining a thermal coupling effect of each heating area in different stages, and determining a heat transfer coefficient between adjacent heating areas; and an initial strategy of the high-temperature sintering furnace is determined, the initial strategy is optimized based on the auxiliary parameters of all the heating areas, and all the heating areas of the high-temperature sintering furnace are regulated and controlled according to the optimization strategy. The problems of inaccurate temperature control, single parameter analysis, insufficient thermal coupling effect processing and the like in the traditional regulation and control technology are effectively solved.

The invention discloses a cardiovascular disease risk prediction method and system based on dietary multi-modal data and ensemble learning, and the method comprises the steps: constructing a multi-modal set through integrating multi-source heterogeneous data such as demographic statistics, dietary nutrition, clinical physiological and biochemical indexes and lifestyles; data cleaning is completed based on a box plot method and missing value processing, and key features are screened through Pearson's correlation coefficients, variance expansion factors and feature importance evaluation; a plurality of heterogeneous base models are fused by adopting a Stacking integration framework, a meta-feature matrix is generated through five-fold layered cross validation, and multi-level decision fusion is realized through a logistic regression meta-model; and quantifying the contribution weight of the dietary characteristics to the risk in combination with an SHAP method, and generating a visual interpretation chart and personalized intervention suggestions. According to the method, the accuracy and the stability of a prediction result are remarkably improved, the contribution degree and the action mechanism of dietary factors and other characteristics to the prediction result can be deeply analyzed, powerful support is provided for accurate prevention and personalized treatment of cardiovascular diseases, and the method has good practical value.

Methods and analyte sensors including at least a first working electrode having a first active area thereon, and performing a dip coating operation to deposit a bilayer membrane upon the first working electrode and the first active area. The bilayer may include an inner layer having a first membrane polymer and an outer layer having a second membrane polymer, the first membrane polymer and the second membrane polymer differing from one another. The dip coating operation may comprise one or more first dips in a first membrane formulation to form the inner layer of the bilayer membrane and one or more second dips in a second membrane formulation to form the outer layer of the bilayer membrane upon the inner layer.

The invention relates to the technical field of mine safety, and discloses a coal mine underground gas monitoring method and system. The method comprises the following steps: acquiring methane absorption intensity data by adopting a tunable diode laser absorption spectrum, converting the methane absorption intensity data into gas concentration based on a Lambert-Beer law, performing temperature and humidity compensation, calculating a transmission priority according to concentration deviation to form a data packet, and establishing a spatial interpolation model by utilizing multipoint data to predict gas concentration distribution. Calculating a risk assessment index based on the predicted distribution, automatically adjusting the rotating speed of the ventilator, and controlling the electrical equipment to be powered off. According to the method, the technical problems of low detection precision, incomplete monitoring coverage, low data transmission efficiency and lack of prediction and early warning capabilities in the existing underground coal mine gas monitoring method are solved. And the accuracy of gas concentration detection and the intelligent level of gas monitoring are improved.

Dry development or dry removal of metal-containing extreme ultraviolet radiation (EUV) photoresist is performed in atmospheric conditions or performed in process tools without vacuum equipment. Dry removal of the metal-containing EUV photoresist may be performed under atmospheric pressure or over-atmospheric pressure. Dry removal of the metal-containing EUV photoresist may be performed with exposure to an air environment or with non-oxidizing gases. A process chamber or module may be modified or integrated to perform dry removal of the metal-containing EUV photoresist with baking, wafer cleaning, wafer treatment, or other photoresist processing function. In some embodiments, the process chamber for dry removal of the metal-containing EUV photoresist includes a heating assembly for localized heating of a semiconductor substrate and a movable discharge nozzle for localized gas delivery above the semiconductor substrate.

The invention relates to the field of durability testing of anion-exchange membrane electrolytic cells, in particular to a durability testing method of an anion-exchange membrane electrolytic cell. The durability testing method for the anion exchange membrane electrolytic cell comprises the following testing steps: S1, assembling the electrolytic cell; s2, activation and initial testing; s3, accelerated durability test: (a) running for 100 hours under the rated current density; (b) running for 100 hours at high current density; (c) periodically and alternately operating for 100 hours at the rated current density and the high current density; and S4, evaluating after testing. According to the application, load fluctuation in practical application is simulated through dynamic working conditions, and a degradation process similar to long-term steady-state operation can be induced within 300 hours in combination with a high-current-density acceleration condition. According to the method, the period of several months or even one year required by a traditional steady state test is shortened to several weeks through scientific design of a test process, and meanwhile, the consistency of a test result and an actual working condition is ensured.

An ML-assisted framework is disclosed that can guide the design of fit-for-purpose separation membranes for resource recovery and clean water production from wastewaters. Approaches and methodologies for executing the work include the integrated components: 1) ML-assisted new polymer screening; 2) development of an interpretable ML model for membrane properties prediction; 3) mechanistic constitutive model; 4) development of a statistical ML model with a combination of proper regularization for membrane performance prediction; 5) separation membrane fabrication and evaluation.

The invention relates to a multi-layer composite black film and a preparation method thereof. The multi-layer composite black film is formed by sequentially stacking a base material layer, a multi-layer film system and a top covering layer, the multi-layer film system is formed by alternately stacking a plurality of absorption layers and a plurality of oxide layers, the number of the layers is 7-30, an initial layer is an oxide layer, the refractive indexes of the oxide layers are the same (1.4-1.5), the thickness ratio of the oxide layers to the absorption layers is larger than 2, and the thickness ratio of the top covering layer to the absorption layers is larger than 1. And the thicknesses of the two layers are increased and then reduced from the substrate layer to the top covering layer. A buffer layer with gradually changed oxygen content is arranged between the oxide layer and the absorption layer, and both the oxide layer and the top covering layer are made of silicon dioxide. The preparation method comprises the following steps: providing the substrate layer, alternately depositing the absorption layer and the oxide layer by using a magnetron sputtering or electron beam evaporation process to form a multilayer film system, then forming the top covering layer, controlling parameters such as vacuum degree, power, temperature and the like during deposition, and forming the buffer layer in the same cavity. The multilayer composite black film has the inner surface reflectivity of less than 1% and the appearance surface reflectivity of less than 5%, and is simple in structure and low in preparation cost.

Provided are processes of filling features with method. The processes include deposition, etch, and clean operations using a molybdenum chloride (MoClx) compound. The MoClx compound may be controlled to selectively deposit on metal nitride features compared to dielectric, form plugs and crystals on dielectric materials, and perform a net etch of materials within the feature. Also provided are in-situ clean processes in which the MoClx compound is used to remove oxidation from underlying surfaces prior to deposition. Subsequent deposition using the MoClx precursor may deposit an initial layer and / or fill a feature.

The invention relates to the technical field of intermediate frequency furnace sintering temperature control, and discloses a sintering temperature control system of an intermediate frequency furnace. The system comprises a multi-source data acquisition module which is used for acquiring multi-dimensional thermodynamic data, covering temperature distribution, sintering power and heat flow track data in a sintering process in real time; and the temperature field analysis module is used for carrying out dynamic compensation correction processing on the multi-dimensional thermodynamic data, inputting the multi-dimensional thermodynamic data into a sintering analysis processing layer for characteristic modeling, and generating a sintering temperature regulation and control instruction. The sintering analysis processing layer comprises a data preprocessing module and a thermodynamic modeling module, the data preprocessing module performs operation such as temperature interval division and abnormal value elimination on original data, and the thermodynamic modeling module is obtained based on historical data cooperative training. According to the system, through multi-dimensional data acquisition and analysis processing, the sintering temperature can be accurately regulated and controlled, the quality of sintered products and the production efficiency are effectively improved, and the system has good universality and adaptability.

The invention discloses ultra-high performance concrete and a preparation method thereof. The ultra-high performance concrete comprises the following components in percentage by mass: 15%-25% of cement, 3%-6% of nano SiO2, 30%-35% of fly ash or steel slag powder, 35%-40% of recycled aggregate, 1%-4% of fiber, 0.5% of a microbial remediation agent and 1%-3% of nano TiO2. The preparation method comprises the following steps: S1, pretreating the recycled aggregate; and S2, packaging the microbial remediation agent: mixing the bacillus pasteurii spores with calcium lactate, and wrapping the mixture in calcium phosphate microspheres. S3, step-by-step stirring; S3.1, dry mixing: uniformly stirring the cement, the fly ash, the nano SiO2, the nano TiO2 and the recycled aggregate; s3.2, wet mixing is carried out, water solution fibers containing the polycarboxylic acid water reducing agent are added, uniform stirring is carried out, and the water-binder ratio of the water solution containing the polycarboxylic acid water reducing agent is 0.18; s3.3, final mixing: adding the packaged microbial remediation agent, and uniformly stirring; and S4, directional curing: performing steam curing at 80 DEG C for 48 hours, performing ultraviolet irradiation, and performing constant-temperature and constant-humidity curing for 7 days. The ultra-high performance concrete has the effects of low cost, low carbon emission, multi-function integration and repeatable crack self-repairing.

Provided is a fuel cell aging prediction method, a system thereof and a medium. The method includes the following steps: acquiring operation parameters and calculation parameters of a fuel cell corresponding to each historical moment in a historical time period, where the calculation parameters include a stack voltage, active area and a hydrogen permeation current; carrying out calculation based on the calculation parameters corresponding to the historical moment to obtain a mixed aging index corresponding to the historical moment; taking the operation parameters and the mixed aging index corresponding to each historical moment in the historical time period as inputs, and predicting the mixed aging index corresponding to the prediction moment by a mixed aging index prediction model.

The invention discloses a multi-parameter coupling intelligent regulation and control method and system in a vanadium ore smelting process, relates to the technical field of non-ferrous metal smelting automatic control, and solves the problems of feeding deviation and resource chain scission caused by slow response of an existing heat balance model to ore impurity fluctuation, online sensing lag and process island. The impurity concentration and the dielectric constant are obtained in real time through an LIBS / XRF combined probe and a microwave dielectric spectrum, rheological disturbance is dynamically corrected through extended Kalman filtering, a dynamic coupling response model is input, a thermodynamic interference factor is calculated, and a leaching and precipitation strategy is generated; performing mother liquor tail gas material flow collaborative optimization in parallel, constructing a multi-dimensional control vector U, performing iterative updating through near-end strategy optimization in a digital twin and issuing the multi-dimensional control vector U to an edge PLC (Programmable Logic Controller) in a distributed manner, and finally correcting a model weight through online XRD (X-Ray Diffraction) feedback; according to the method, the adaptive capacity to complex vanadium ore component disturbance, the response precision of online control and the inter-process resource circulation efficiency are remarkably improved.