283results about How to "Raise the possibility" patented technology

The invention discloses a preparation method of a chitosan-sodium alginate-diatomite composite adsorbent. The preparation method comprises the following steps: (1) carrying out calcination pretreatment on diatomite; (2) dissolving sodium alginate powder in water; (3) adding the calcined diatomite into a sodium alginate solution to prepare a mixed solution a; (4) adding CaCl2 into an acetic acid solution for dissolving; (5) adding chitosan powder into a CaCl2 solution, and uniformly stirring to obtain a mixed solution b; (6) dropwise adding the mixed solution a into the mixed solution b for crosslinking to prepare SA / DM / CS composite gel balls; and (7) washing the gel balls with water for several times, repeatedly freezing and thawing for several times, and drying to obtain the composite adsorbent. The composite adsorbent is prepared by dropwise adding the sodium alginate solution containing the calcined diatomite into the mixed solution of the chitosan and the CaCl2, so that the problem of low mechanical strength of single sodium alginate hydrogel is solved, and the recycling stability of the hydrogel microsphere adsorbent is improved.

The invention discloses a feature classifier-based thinking chain reasoning mathematical problem solving method and system. The method comprises the following steps of: (1) acquiring a mathematical problem set, and selecting forward and reverse thinking chain examples to splice to form a new set; (2) respectively inputting the new set elements into a model for reasoning to construct a word-level reasoning path spanning tree, and selecting an attention weight matrix after pooling difference processing as node features for storage; (3) traversing all the generated reasoning path spanning trees, and screening nodes meeting requirements to construct a feature classifier training set; (4) training a feature classifier by using a support vector machine algorithm; and (5) through the trained feature classifier, participating in path selection in a pre-training language model reasoning process, and obtaining a relatively accurate reasoning process and answers. By means of the method, adjustment and control of finer granularity of the reasoning path of the pre-training language model can be achieved, accurate reasoning solving of the pre-training language model on mathematical problems is facilitated, and the generalization level of the pre-training language model is improved.

The invention discloses a retrieval enhancement generation method and device based on reciprocal ranking fusion and a medium, and relates to the technical field of intelligent question answering and document processing. The method comprises the following steps: receiving an original query input by a user, and processing the original query by utilizing a preset first large language model to generate a plurality of extended queries; using a semantic vectorization method to retrieve corresponding related documents in a document database for each extended query; according to a reciprocal ranking fusion algorithm, calculating reciprocal ranking scores of the related documents corresponding to the extended queries, and comprehensively ranking the related documents according to the reciprocal ranking scores; and inputting the related documents, the extended queries and the original queries after comprehensive sorting into a preset second large language model, and generating question and answer output.

The embodiment of the invention discloses a preparation method of exosome-loaded hydrogel, the exosome-loaded hydrogel and application of the exosome-loaded hydrogel. A specific embodiment of the method comprises the following steps: carrying out oxidation treatment on hyaluronic acid; carrying out mixed reaction on oxidized hyaluronic acid and methacrylic anhydride under a preset environmental condition to obtain a first mixed solution; performing dialysis and freeze-drying treatment on the first mixed solution to obtain target oxidized hyaluronic acid; adding the target oxidized hyaluronic acid into the exosome solution to obtain an exosome-loaded oxidized hyaluronic acid solution; the exosome-loaded oxidized hyaluronic acid solution and polylysine are subjected to a mixed reaction, the exosome-loaded hydrogel is obtained, and the mass ratio of target oxidized hyaluronic acid to polylysine in the exosome-loaded hydrogel ranges from 1 to 2. According to the embodiment, the mechanical property and controllable degradability of the exosome-loaded hydrogel can be improved, so that the applicability of the exosome-loaded hydrogel and the retention capacity and activity of the exosome are improved.

The invention belongs to the technical field of anchoring strength detection, and discloses an underground anchor rod anchoring strength prediction method and system based on a support vector machine method. The method comprises the steps of cleaning data, processing missing values and standardizing features; using correlation analysis or other feature selection methods to select features with high correlation with anchoring strength; performing model training by using a support vector machine method SVM, and optimizing hyper-parameters by using grid search; completing the construction of a support vector machine model; and carrying out model evaluation and result visualization. Key parameters in the mixing process are monitored in real time through the sensor network, the system can obtain anchoring strength data in real time, the detection period is greatly shortened, and the construction efficiency is improved. The support vector machine algorithm is adopted to analyze and predict the collected data, personal errors can be eliminated to a greater extent, and the accuracy and reliability of anchoring strength detection are improved.

The embodiment of the invention discloses a live broadcast interaction method, system and device, equipment, a storage medium and a program product. The method comprises the following steps: displaying a preview interface of a target live broadcast room; the preview interface comprises a first interaction control, the first interaction control is triggered and displayed based on a first interaction event of the target live broadcast room, and the first interaction control is used for entering the target live broadcast room and participating in the first interaction event; and in response to the triggering of a second interaction event of the target live broadcast room, switching the first interaction control of the preview interface to a second interaction control, the second interaction control being used for entering the target live broadcast room and participating in the second interaction event. According to the embodiment of the invention, the live-broadcasting room entering possibility can be improved.

The invention provides a sulfide solid electrolyte as well as a preparation method and application thereof. The molecular formula of the sulfide solid electrolyte is Li P < 1-b > M S < c > O < d > X < e >, wherein: 5lt; a < lt >; 6; 0 lt; blt; 1; 1.5 1t; clt; ct; 5, 0lt; dlt; 2.5, 4lt; c + dlt; 5, 1lt; lt, lt; 2; m is selected from one or more of Al, Ga, In, Ti, Sc, As, Sb, Bi, V or Nb; x is selected from one or more of Cl, Br or I. According to the sulfide solid electrolyte and the preparation method and application thereof, the stability of the conductivity of the sulfide solid electrolyte can be improved, the air stability is enhanced, the electrolyte / active substance interface property is improved, the service life of an all-solid-state lithium ion battery is prolonged, and the safety of the all-solid-state lithium ion battery is improved.

The invention relates to a low-oscillation impact inertia piezoelectric actuator and a driving method thereof, and belongs to the field of precision machinery. The impact inertia driver comprises a base unit, a driving unit and a guide rail sliding block. The driving unit is a flexible hinge mechanism with a rhombic displacement amplification mechanism and is connected with the guide rail sliding block through a screw; and the piezoelectric stack is embedded in the rhombic amplification mechanism. The driving method of the device comprises the steps that when continuous zigzag driving voltage is applied to the piezoelectric stack, certain waveform voltage is applied to the electromagnet to conduct power-on and power-off operation on the electromagnet, based on the inertial impact principle, the resultant force of impact inertia force and magnetic force is larger than the friction force between the flexible hinge mechanism and the friction block, and the sliding block generates linear stepping motion. The invention has the advantages of simple structure, easiness in processing, assembly and control, capability of realizing high-speed large-stroke and high-load output, and no rollback displacement. The method has good application prospects in the fields of micro-nano operation, precise instruments, precision machining and the like.

The invention provides an assembly quality control method and system based on the industrial Internet of Things and a medium, the method is executed by an industrial Internet of Things management platform of the assembly quality control system based on the industrial Internet of Things, and the method comprises the following steps: obtaining quality inspection information of a plurality of parts to be assembled, and determining the assembly quality of the parts to be assembled based on the quality inspection information and the assembly information; determining an assembly risk value of at least one assembly process through an assembly database; generating assembly parameters in response to the assembly risk value meeting a risk condition; acquiring assembly process data of the assembly work, and determining the assembly quality of the completed process based on the assembly process data; in response to the situation that the assembly quality does not meet the quality requirement, subsequent assembly parameters are determined based on the assembly quality, and quality early warning information is generated based on the assembly quality and the subsequent assembly parameters; based on the assembly quality, quality update data is generated. The possibility that the assembly quality is unqualified can be predicted, and early warning or assembly parameter adjustment can be timely given out according to the condition that the assembly quality is unqualified.

The invention provides a solid electrolyte membrane and a preparation method and application thereof. The solid electrolyte membrane comprises a binder; the molecular formula of the sulfide solid electrolyte is Li P < 1-b > M S < c > O < d > X < e >; wherein, 5lt; a < lt >; 6, 0lt; blt; 1, 1.5 1t; clt; ct; 5, 0lt; dlt; 2.5, 4lt; c + dlt; 5, 1lt; lt, lt; 2; m is selected from one or more of Al, Ga, In, Ti, Sc, As, Sb, Bi, As, V or Nb; x is selected from one or more of Cl, Br or I; the ionic conductivity of the solid electrolyte membrane is 1 * 10 <-3 > S / cm to 2 * 10 <-2 > S / cm. According to the solid-state electrolyte membrane and the preparation method and application thereof, the stability of the conductivity of the solid-state electrolyte membrane can be improved, the air stability can be enhanced, the electrolyte / active substance interface property can be improved, the service life of an all-solid-state lithium ion battery can be prolonged, and the safety of the all-solid-state lithium ion battery can be improved.

The invention relates to the technical field of radio communication, and discloses an XL-RIS-assisted near-field multi-beam design method and system, and the method comprises the steps: constructing an XL-RIS-assisted near-field communication multi-user receiving signal model; constructing a near-field multi-beam optimization model; the near-field multi-beam optimization model is solved, so that an XL-RIS beam reflection matrix can be obtained; and iteratively solving the near-field multi-beam optimization model to obtain a reflection matrix of a base station transmitting signal to the XL-RIS, and completing XL-RIS assisted system multi-beam optimization. Compared with the existing calculation, the beam optimization method provided by the invention does not need a complicated calculation problem, overcomes the problems of low convergence speed and high calculation complexity in large-scale array processing of the traditional method, and improves the optimization efficiency. The operation speed can be increased under the condition that the system performance is guaranteed.

The invention discloses a double avalanche junction SPAD device and a preparation method thereof, and relates to the technical field of semiconductor device processing technology, the method comprises the following steps: providing a first doping type substrate with a specific doping concentration, the substrate comprising an epitaxial layer; performing doping of a second doping type on the epitaxial layer to form a first region, and forming a first avalanche junction region by the first region and the epitaxial layer; performing ion implantation of the first doping type on the epitaxial layer above the first region to form a second region, and forming a second avalanche junction region by the second region and the first region; and performing doping of the first doping type on the epitaxial layer above the second region to form an anode lead-out region of the second avalanche junction region.

The invention discloses a method for screening by combining a space transcriptome and CRISPR (clustered regularly interspaced short palindromic repeats) in a same unbiased mode and application of the method in gene function verification, and belongs to the technical field of biology. The method comprises the following steps: infecting target cells with CRISPR screening library viruses; sorting out positively infected target cells, and culturing for a period of time after knockout; injecting the target cells obtained in the previous step into an experimental animal body, wherein the experimental animal is an animal with autoimmunity deficiency; taking out tissues infiltrated by the target cells, and preparing frozen sections; transferring the frozen section to a spatial transcriptome slide, and loading on a machine to prepare a spatial transcriptome cDNA library; constructing a common transcriptome library and a CRISPR sgRNA library by using the space transcriptome cDNA library; and respectively carrying out sequencing and gene sequence comparison on the common transcriptome library and the CRISPR sgRNA library to obtain common transcriptome sequencing data carrying space coordinates and CRISPR sgRNA library sequencing data carrying space coordinates.

The invention discloses a gastrodia elata polypeptide extraction process, and belongs to the technical field of polypeptide extraction. According to the method, gastrodia elata cell membranes are broken through acetone pretreatment, so that protein and lipid are dissociated, trimethylsilyl ether passivates active groups, immobilized enzyme decomposes cellulose and adipose tissues through normal-temperature enzymolysis, a protein stabilizer prevents oxidation and inhibits enzyme activity, differential pressure extraction is combined with a sodium pyrophosphate buffer solution, polypeptide is promoted to be dissolved out, and activity is maintained; the high extraction rate of the gastrodia elata polypeptide and low-active group destructiveness are realized. Reaction sites and binding force are increased by epoxy groups on the surface of an immobilized enzyme carrier prepared by modifying corn starch, enzyme molecules are stable and appropriate due to good biocompatibility, enzyme molecule conformation is optimized through covalent binding, a rigid structure is enhanced, enzyme activity is kept at a high level for a long time, continuous and efficient enzymolysis is performed in gastrodia elata polypeptide extraction, and the gastrodia elata polypeptide extraction efficiency is improved. Compared with the traditional free enzyme, the gastrodia elata polypeptide enzyme has the advantages that the enzyme use cost is reduced, the enzyme consumption and waste generation are reduced, and an efficient and economical scheme is provided for gastrodia elata polypeptide extraction.

The invention relates to the technical field of legal information processing, and discloses a legal instrument intelligent supervision and verification method, which comprises the following steps: receiving a legal instrument uploaded by a user, the legal instrument comprising text content, image data and audio information; extracting the text content of the legal document through an optical character recognition technology, and generating a corresponding text feature vector; the invention also discloses an intelligent supervision and verification system for the legal instruments, and the system comprises a data storage module which is used for storing the legal instruments uploaded by the user, and the extracted text feature vectors, image feature vectors and audio feature vectors. Dynamic rule optimization is realized through an intelligent self-learning check engine, and manual intervention is reduced; intelligent rule generation improves efficiency and accuracy; a multi-modal feature fusion technology is used for comprehensively analyzing legal documents and providing accurate compliance analysis; a real-time risk assessment mechanism ensures instant feedback, and legal risks are effectively reduced.

The invention provides a sparse system identification method and system based on an improved adaptive filter, and belongs to the technical field of adaptive system identification, and the method comprises the steps: obtaining an input signal at a current moment; updating a correlation estimation matrix and a cross-correlation estimation vector based on a conjugate gradient method; a nonlinear gradient is introduced, and the search direction of the filter is updated; introducing a regularization parameter to obtain a dynamic step length of the filter; updating the tap weight coefficient of the filter; and updating the moment to the next moment, updating the weight vector coefficient of the adaptive filter, and when the weight vector coefficient of the filter is equal to the pulse response of the unknown system, ending the identification of the unknown system. According to the method, the sparse unknown system can be identified more efficiently by modifying nonlinear gradient updating, regularization parameters and momentum enhancement updating.

The invention discloses a large model-oriented adversarial sample iterative generation method. The method comprises the following steps of: constructing a search space based on a candidate identifier index vector; generating an adversarial example by using a Bayesian optimization framework, and dynamically selecting an optimal candidate point through a Gaussian process proxy objective function; the candidate samples are subjected to diversity sampling in combination with a determinant point process, and it is ensured that the generated confrontation examples are wide in coverage range and high in aggressiveness; and the generation process is iteratively optimized, the direction is dynamically adjusted according to attack feedback, and the generation efficiency and success rate of the confrontation examples are gradually optimized. According to the invention, by combining feedback optimization and diversity sampling technologies, the local optimum problem and the efficiency difficulty in the existing adversarial example generation method are effectively solved. Experiments show that the generated adversarial example shows a remarkable attack effect in tasks such as vulnerability prediction, clone detection and code abstracting, the robustness of the depth code model can be fully tested, and technical support is provided for model improvement and optimization.

The invention discloses a concentration index extraction method and device, electronic equipment and a medium. The method comprises the following steps: acquiring af7 and af8 dual-channel electroencephalogram signals in front of a forehead; calculating the fuzzy entropy of the dual-channel electroencephalogram signal by adopting a preset sliding window method to obtain a dual-channel electroencephalogram signal fuzzy entropy value; smoothing the dual-channel electroencephalogram signal fuzzy entropy value to obtain a target dual-channel electroencephalogram signal fuzzy entropy value; and performing weighted calculation on the fuzzy entropy value of the target dual-channel electroencephalogram signal to obtain a concentration index. According to the concentration degree extraction method, only af7 and af8 double-channel data need to be collected, channel data are simplified, and the possibility and convenience of electroencephalogram signal collection are improved; and meanwhile, the method adopted by the invention does not need to perform frequency division processing on the data, so that the anti-interference capability of the data is further improved, and the accuracy of obtaining the concentration index is improved.

The invention discloses an explosive molecule detection sensing element applicable to a high-temperature condition and application of the explosive molecule detection sensing element. The promoter element is derived from a genome of pseudomonas putida, a nucleotide sequence shown in SEQ ID NO.1 is obtained through transcriptomics analysis and screening and escherichia coli high-temperature screening, and the promoter element has the obvious explosive molecule detection capacity under the high-temperature condition. In addition, the method has the advantage of adapting to high-temperature, green and efficient detection.

The invention discloses an image multi-level threshold segmentation method based on an improved whale optimization algorithm, and belongs to the technical field of image processing. The method comprises the following steps: initializing a population; calculating a target function value, and finding out the optimal whale position Xbest of the population; updating the position of the whale in the population; performing combined mutation operation based on individual fitness values; similarity removal operation is carried out, and similar individuals are judged according to the difference between the target function values and the distances corresponding to the two individuals; the fitness value of the whale is recalculated, the optimal individual Xbest of the population is updated, and an optimal threshold value is obtained; outputting a global optimal threshold, and segmenting the image by using the global optimal threshold; and outputting the segmented image. The method has the beneficial effects that the development capability of the algorithm is improved by adaptively adjusting the parameters # imgabs0 # and # imgabs1 # in the contraction surrounding stage; the problem that the whale in the population in the later iteration stage is not subjected to position updating in the random search stage is solved, and the algorithm is prevented from falling into local optimum.

The invention belongs to the technical field of organic synthesis and drug intermediate preparation, and relates to a resolution preparation method of a monepantel key intermediate. In the first aspect, the invention provides a preparation method of a compound shown as a formula 3, which comprises the following steps: # imgabs0 #, in which R1 is selected from TMS, TES, TBDMS, TIPS, TBDPS or # imgabs1 #, the reaction is as follows: # imgabs2 # comprises the following steps: step 2, reacting a compound shown as a formula 2 with an ammonia source and a cyaniding reagent to obtain the compound shown as the formula 3; according to the method 2, the reaction is as follows: # imgabs3 # comprises the following steps: step 5, a compound shown in a formula 7 is subjected to the action of ammonia gas to obtain a compound shown in a formula 3; on the second aspect, the invention provides a preparation method of a compound shown as a formula 5, and the reaction is as follows: # imgabs4, in which R1 is as described in the first aspect; the method comprises the following steps: step 3, obtaining a compound shown as a formula 5 from a compound shown as a formula 3 under the action of a resolving agent. The method disclosed by the invention is higher in yield, simpler in post-treatment and simple and convenient to operate, and has a good industrial production prospect.

The invention relates to the technical field of personalized marketing strategy generation of customer portraits, and discloses a personalized marketing strategy generation method based on customer portraits. By acquiring age, gender and loan limit information of all historical credit users, the users are grouped according to age groups from 18 years old to 36 years old and above, and the users are refined into a plurality of age groups. And respectively acquiring loan limits of male and female in each age group, dividing the loan limits, and performing association analysis on the age groups, genders and the loan limits to form a plurality of historical loan association groups. The grouping and correlation analysis method not only can help to identify consumption behaviors and credit demand characteristics of groups of different ages, but also can capture demand and behavior differences of users of different ages in different life stages. Through the data, an enterprise can construct a more targeted customer group, so that a customer portrait and a personalized marketing strategy are optimized, and the accuracy and effect of marketing are improved.

The invention discloses a composition and a method for preparing high-carbon aldehyde through water / oil two-phase hydroformylation. The composition comprises a rhodium catalyst, a water-soluble phosphine ligand and a quaternary ammonium salt cationic surfactant, the structural formula of the quaternary ammonium salt cationic surfactant is shown in a formula (I), R1, R2, R3, R4 and R5 are independently selected from methyl, ethyl and C3-C18 straight-chain or branched-chain alkane, and X is F, Cl or Br; the molar ratio of the water-soluble phosphine ligand to the rhodium catalyst is (0.1-20): 1; the molar ratio of the quaternary ammonium salt cationic surfactant to the rhodium catalyst is (0.05-100): 1. # imgabs0 #

The invention relates to the technical field of motor position control, in particular to a direct-current servo motor position control method and system based on operation analysis, and the method comprises the steps: obtaining a target direct-current servo motor, obtaining a target model according to the target direct-current servo motor, obtaining a moving position parameter, and obtaining a plurality of parameter adjustment intervals, obtaining a plurality of parameter combinations based on a plurality of parameter adjustment intervals, obtaining an optimal operation state of a target direct current servo motor, obtaining a moving target site, obtaining a current site of the target direct current servo motor, constructing a moving path based on the current site and the moving target site, obtaining curve characteristics of the moving path, dividing the moving path, and obtaining the target direct current servo motor. The method comprises the steps of obtaining multiple sections of divided paths, simulating the divided paths, confirming energy-optimal parameter combinations, summarizing the energy-optimal parameter combinations, obtaining an energy-optimal parameter combination set, and completing direct current servo motor position control based on operation analysis on the basis of the energy-optimal parameter combination set. According to the invention, efficient energy consumption management and accurate position control can be realized.

The invention discloses a natural language to SQL query method and system based on execution result inspection, and the method comprises the steps: inputting a natural language problem into a Text-to-SQL data set, and selecting a plurality of examples similar to the natural language problem and corresponding SQL queries from the Text-to-SQL data set; the SQL questions and the natural language questions are input into an LLM together, and the LLM outputs candidate SQL queries and generation reasons of the candidate SQL queries; executing the candidate SQL query, inputting the obtained execution result, the natural language problem and the candidate SQL query into the trained test model to judge the correctness of the execution result, and giving out the correctness probability of the execution result; and according to the probability of generating the candidate SQL query by the LLM and the correct probability of the execution result, calculating the correct probability of the candidate SQL query, sorting the correct probability of the candidate SQL query in a descending order, and outputting the first candidate SQL query. According to the method, grammar errors of SQL query can be found, correctness of SQL query can be judged more visually, and finding of complex problems and errors existing in complex SQL query is facilitated.

The utility model discloses a full-lifting-body perovskite solar unmanned aerial vehicle which comprises a large-chord-length lifting body fuselage and wings on the two sides, ailerons are arranged on the rear edges of the outer sections of the wings to serve as rolling control faces, and an elevator is arranged on the rear edge of the fuselage to serve as a pitching control face. A pair of vertical stabilizers are arranged on the outer side surface of the rear edge of the fuselage to enhance the course stability; perovskite solar cells with flexible substrates are distributed on the surfaces of the fuselage and the wings in an array mode and provide power for the unmanned aerial vehicle. The large-chord-length lifting body fuselage is adopted, the lifting area of the unmanned aerial vehicle is increased, meanwhile, the wingspan length of the unmanned aerial vehicle is reduced, loads borne by wings of the unmanned aerial vehicle are reduced, the weight of the wing structure is reduced, and effective loads are increased; the flexible perovskite solar cells are adopted for array, the damage rate of the cells in the installation process is reduced, and meanwhile due to the advantages of low cost, excellent flexibility, foldability, light weight and mass production of the perovskite solar cells, the service life of the unmanned aerial vehicle is prolonged, the cost is reduced, and mass production of the unmanned aerial vehicle is facilitated.

The invention relates to a high-integration-power module system composed of plastic package single tubes and capable of expanding wiring. The high-integration-power module system comprises a PCB and at least one plastic package single tube. The plastic package single tube is embedded in the PCB; the surface of the PCB is provided with wiring terminal groups, and the wiring terminals in each wiring terminal group are electrically connected with the corresponding pins in the corresponding plastic package single tube. The power density is high, high voltage and large current can be covered, and multiple dies are connected in parallel; the expansibility is high, and the range of industrial and vehicle gauge power modules can be covered; the cost can be reduced; the integration level is high, and active and passive devices can be integrated; the parasitic stray inductance is very low and can be about 1nH, and the loss can be reduced; meanwhile, the thermal resistance can be further reduced.

The invention discloses preparation and application of a yolk-shell structure body phase hydrodesulfurization catalyst based on hydrogen overflow, and the preparation method comprises the following steps: (1) adding nickel nitrate hexahydrate into an aqueous solution of glycerol, isopropanol and deionized water, and carrying out solvothermal reaction on a green solution to obtain a solid spherical nickel composite precursor; (2) mixing the nickel composite precursor with an ethanol solution of thioacetamide, and adding an ammonium heptamolybdate aqueous solution to obtain a turbid liquid; and performing solvothermal reaction on the turbid liquid to obtain the yolk-shell structure catalyst. The yolk-shell structure catalyst with rich NiMoS phases is controllably derived by adopting a limited range vulcanization coupling in-situ intercalation strategy. Under the action of confinement vulcanization, organic molecules are intercalated in situ and assist in constructing stable 1T-MoS2 with short plate length and low stacking, so that full exposure of rim sites is promoted. According to the catalyst, an inner core NiS2 is used as an auxiliary active phase to trigger a hydrogen overflow effect, and cooperation of double active phases is promoted through an egg yolk-shell structure, so that ultra-deep desulfurization of an oil product is realized.

The utility model provides an indoor unit of an air conditioner, which comprises a water pan arranged below an indoor heat exchanger; the indoor heat exchanger comprises a first-section heat exchanger, and the bottom end of the first-section heat exchanger is located behind the top end of the first-section heat exchanger in the front-back direction of the main body; in the front-back direction of the main body, the bottom end of the second-section heat exchanger is located in front of the top end of the second-section heat exchanger; the second-section heat exchanger is positioned behind the first-section heat exchanger; the third-section heat exchanger is positioned above the first-section heat exchanger; the space on the front side of the indoor fan can be fully utilized, the space in the height direction is fully utilized, the heat exchange area is increased, the heat exchange effect is improved, the height size is small, and the air conditioner indoor unit can be installed above a window or a door; an indoor air inlet is formed in the front side of the water pan; at least part of the indoor air inlet is located on the front side of the water pan and located below the third-section heat exchanger, and heat exchange of the first-section heat exchanger and the third-section heat exchanger is facilitated.

The present disclosure provides an analytic personalization framework. Methods, systems, and computer readable media for personalized analysis of user interfaces. The method includes generating a training dataset from received user interaction data, inputting the training dataset to a machine learning model to train the model, generating a set of user interest scores for a particular user, where each user interest score indicates a user's interest to access information corresponding to a UI element of an application, and generating a user interest score for the particular user. The method includes determining a user interest score, determining that the user is interested in a particular UI element that is not included in the initial UI and has at least a threshold score according to the user interest score, dynamically modifying the initial UI to include the particular UI element, presenting an updated UI, monitoring further user interactions, updating a model based on the further user interactions, and modifying the updated UI based on the updated model.