Abstract: A cancer detection model and a construction method therefor, and a reagent kit, relating to the technical field of cancer detection. The method comprises: performing whole genome sequencing on plasma free DNA to mine nucleosome distribution features, terminal sequence features, and fragment size distribution features that can be applied to cancer detection; constructing classification models of the three indicators to obtain prediction scores of each indicator for a sample; then integrating these scores using a logistic regression model, and adding copy number variation feature information to obtain an ultimate classification and prediction model.

Abstract: Devices for controlling to remove food waste digestion foam are provided. The device includes a digestion tank. The digestion tank includes two hermetically sealed boxes. Each of the two boxes is opened with a liquid inlet connected to an interior of each of the two boxes. A conveying mechanism is connected between the two boxes. The conveying mechanism conveys a gas in the two boxes in a reciprocal manner. The gas in the two boxes is conveyed in the reciprocal manner through the conveying mechanism to generate a pressure difference between the two boxes distributed left and right to remove the foam, which adopts physical defoaming without adding any reagent, is cost-effective and efficient, and does not affect an anaerobic reaction process due to addition of a chemical defoaming agent. The entire device has a simple structure and is easy to operate, and the process is controllable.

Abstract: Embodiments of the present disclosure provide a device for kitchen waste digestion, including: a first treatment container, provided with a feed pipe and an exhaust pipe at a top, and internally configured with a plurality of pole plate pairs, the pole plate pairs including two pole plates, one of the pole plates being connected to a positive pole of a power source and another being connected to a negative pole of the power source, and a plurality of sieve holes being provided in each of the pole plates; and a second treatment container, a top of the second treatment container connecting to a bottom of the first treatment container, a middle part being configured with a plurality of filler layers spaced apart in a vertical direction, and a bottom being configured with an iron-carbon filler; and a filler in the filler layers including calcium peroxide and magnetite particles.

Abstract: The embodiments of the present disclosure provide a centralized treatment device for kitchen waste. The centralized treatment device includes an upper box, an outer cover, a pulverizer, an inner cover, a filter press, a drying granulator, a lower box, an electrolysis device, a hanging basket, a material box, an exhaust fan, and a linkage mechanism. Smashed kitchen waste is subjected to solid-liquid separation by the filter press. Filter residues enter the drying granulator to be partially carbonized, and partially carbonized filter residues and mixed powder treatment agent form solid residue particles. The solid residue particles degrade and adsorb pollutants in the water after being activated by an acidic solution. Meanwhile, accumulated water-absorbing solid residue particles help to degrade the pollutants in the water through the electrolysis device. A separation area is configured to separate oil and discharge the oil separately.

Abstract: Devices for controlling to remove food waste digestion foam are provided. The device includes a digestion tank. The digestion tank includes two hermetically sealed boxes. Each of the two boxes is opened with a liquid inlet connected to an interior of each of the two boxes. A conveying mechanism is connected between the two boxes. The conveying mechanism conveys a gas in the two boxes in a reciprocal manner. The gas in the two boxes is conveyed in the reciprocal manner through the conveying mechanism to generate a pressure difference between the two boxes distributed left and right to remove the foam, which adopts physical defoaming without adding any reagent, is cost-effective and efficient, and does not affect an anaerobic reaction process due to addition of a chemical defoaming agent. The entire device has a simple structure and is easy to operate, and the process is controllable.

Abstract: Embodiments of the present disclosure provide a device for kitchen waste digestion, including: a first treatment container, provided with a feed pipe and an exhaust pipe at a top, and internally configured with a plurality of pole plate pairs, the pole plate pairs including two pole plates, one of the pole plates being connected to a positive pole of a power source and another being connected to a negative pole of the power source, and a plurality of sieve holes being provided in each of the pole plates; and a second treatment container, a top of the second treatment container connecting to a bottom of the first treatment container, a middle part being configured with a plurality of filler layers spaced apart in a vertical direction, and a bottom being configured with an iron-carbon filler; and a filler in the filler layers including calcium peroxide and magnetite particles.

Abstract: The embodiments of the present disclosure provide a centralized treatment device for kitchen waste. The centralized treatment device includes an upper box, an outer cover, a pulverizer, an inner cover, a filter press, a drying granulator, a lower box, an electrolysis device, a hanging basket, a material box, an exhaust fan, and a linkage mechanism. Smashed kitchen waste is subjected to solid-liquid separation by the filter press. Filter residues enter the drying granulator to be partially carbonized, and partially carbonized filter residues and mixed powder treatment agent form solid residue particles. The solid residue particles degrade and adsorb pollutants in the water after being activated by an acidic solution. Meanwhile, accumulated water-absorbing solid residue particles help to degrade the pollutants in the water through the electrolysis device. A separation area is configured to separate oil and discharge the oil separately.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations using at least one of query-compliant hash databases, segmentation-based hashing models, and hash segmentation models.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations using at least one of query-compliant hash databases, segmentation-based hashing models, and hash segmentation models.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations using at least one of query-compliant hash databases, segmentation-based hashing models, and hash segmentation models.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations. For example, various embodiments of the present invention provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for facilitating efficient and effective execution of database management operations using at least one of query-compliant hash databases, segmentation-based hashing models, and hash segmentation models.

Abstract: Disclosed is a method for controlling stable flight of an unmanned aircraft, comprising the following steps: acquiring real-time flight operation data of the aircraft itself by means of an attitude sensor, a position sensor and an altitude sensor mounted to the unmanned aircraft, performing corresponding analysis on a kinematic problem of the aircraft by a processor mounted thereto, and establishing a dynamics model of the aircraft (S1); designing a controller of the unmanned aircraft according to a multi-layer zeroing neurodynamic method (S2); solving output control quantities of motors of the aircraft by the designed multi-layer zeroing neural network controller using the acquired real-time operation data of the aircraft and target attitude data (S3); and transferring solution results to a motor governor of the aircraft, and controlling powers of the motors according to a relationship between the control quantities solved by the controller and the powers of the motors of the multi-rotor unmanned aircraft, s

Abstract: Provided is a stable flight control method for a multi-rotor unmanned aerial vehicle based on finite-time neurodynamics, comprising the following implementation process: 1) acquiring real-time flight orientation and attitude data through airborne sensors, and analyzing and processing kinematic problems of the aerial vehicle through an airborne processor to establish a dynamics model of the aerial vehicle; 2) designing a finite-time varying-parameter convergence differential neural network solver according to a finite-time varying-parameter convergence differential neurodynamics design method; 3) solving output control parameters of motors of the aerial vehicle through the finite-time varying-parameter convergence differential neural network solver using the acquired real-time orientation and attitude data; and 4) transmitting results to speed regulators of the motors of the aerial vehicle to control the motion of the unmanned aerial vehicle.