Abstract: A subsonic compressor, a rotor blade and a method for flow stability enhancement are provided. The subsonic compressor includes a hub and a casing, a tip clearance is formed between a tip of the rotor blade and an inner wall of the casing. The tip clearance is formed as a circumferential diverging leakage passage expanding from a pressure surface side of the rotor blade of the subsonic compressor at the tip to a suction surface side of the rotor blade at the tip.

Abstract: The present disclosure belongs to the technical field of Internet of vehicles (IoV) security and provides an IoV intrusion detection method and device based on an improved convolutional neural network. The method of the present disclosure includes: collecting original data of data traffic during IoV communication, and inputting the original data to a data dimension reduction algorithm model for IoV intrusion detection for preprocessing to obtain standardized data for IoV data analysis; inputting the standardized data for IoV data analysis to an improved convolutional neural network model for calculation, including: performing convolutional calculation and nonlinear activation on the input data for layering; performing two convolutional operations, two pooling operations and one full connection operation on each layer of data; and classifying a data set output by the improved convolutional neural network model through a SoftMax layer.

Abstract: The invention provides for a hybrid unmanned aerial and submersible vehicle (UASV) (100) comprising a fuselage (102), at least one wing structure (104, 106), a propulsion system (116, 118) and an empennage. The said vehicle is capable of operating in air, on water and underwater via its wing tilting mechanism wherein the transition of the vehicle between different mediums is seamless. Further, the wing structures (104, 106) are connected on either side of the fuselage (102), such that each wing (104, 106) tilts about a common lateral axis (360° of freedom), and wherein said tilting depends on the mode of operation of the UASV (100). The vehicle of the present invention further includes a propeller protection system, a landing system, control surfaces, and sensors. The present invention also discloses methods for operating the UASV (100) in multiple mediums.

Abstract: A 5G-TSN resource joint scheduling apparatus includes: a state information acquisition module, a scheduling decision making module, and a configuration module. The state information acquisition module is configured to acquire bottom-layer network information, and process the acquired bottom-layer network information to obtain state information, the bottom-layer network information includes channel information, gate control list information of a TSN domain, and queue information in a base station. The scheduling decision making module is configured to obtain a result of decision making based on the state information output by the state information acquisition module using a DDPG-based reinforcement learning model, the result of decision making includes whether to allocate resources for a current queue and a number of resources actually allocated to the current queue.

Abstract: Tandem methods and devices for separating coal and gangue based on visible light and an X-ray are provided. The method comprises: determining, based on a visible light image, an image feature set and a target region of coal gangue; recognizing the coal gangue and removing large gangue in the coal gangue; performing imaging on the coal gangue after the large gangue is removed; extracting a target image and determining a gray scale value of the target image; obtaining samples of coal and gangue of different granularity levels by performing sampling; establishing a database and obtaining a separation threshold of coal and gangue of each granularity level of the current mining area; forming a mapping set and storing the database in a storage space; and obtaining a gray scale value of subsequent coal gangue, importing the gray scale value of the subsequent coal gangue into the mapping set to subsequently separate coal and gangue.

Abstract: The present invention provides new, fully human EphA4 monoclonal antibodies with distinct binding characteristics. Also disclosed are antigen binding fragments of these antibodies, bispecific forms of these antibodies, and conjugates of these antibodies. In addition, nucleic acids encoding these antibodies, antigen binding fragments, bispecific antibodies and conjugates are disclosed. These monoclonal antibodies, antigen binding fragments, bispecific antibodies, conjugates, nucleic acids and vector are of use for identifying and treating a subject with a disease or condition involving abnormal EphA4-mediated signaling.

Abstract: Disclosed herein are modified zeolites and methods for making modified zeolites. In one or more embodiments disclosed herein, a modified zeolite may include a microporous framework comprising a plurality of micropores having diameters of less than or equal to 2 nm. The microporous framework may include at least silicon atoms and oxygen atoms. The modified zeolite may further include organometallic moieties each bonded to bridging oxygen atoms. The organometallic moieties may include a titanium atom. The titanium atom may be bonded to a bridging oxygen atom, and the bridging oxygen atom may bridge the titanium atom of the organometallic moiety and a silicon atom of the microporous framework.

Abstract: The present disclosure discloses an energy-saving method for preparing electronic-grade carbonate, including the following steps that: industrial-grade dimethyl carbonate and anhydrous ethanol enter a reaction process after being preheated by a preheater, and are subjected to an esterification reaction under the action of a catalyst to obtain a mixture containing dimethyl carbonate, ethyl methyl carbonate and diethyl carbonate, and an azeotrope of dimethyl carbonate and methanol; the above-mentioned mixture enters a recovery process of dimethyl carbonate to recover unreacted dimethyl carbonate; a mixture of ethyl methyl carbonate and diethyl carbonate then enters a crude separation process to obtain crude ethyl methyl carbonate and crude diethyl carbonate; and the crude ethyl methyl carbonate is subjected to a refining process of ethyl methyl carbonate to obtain electronic-grade ethyl methyl carbonate, and the crude diethyl carbonate is subjected to a refining process of diethyl carbonate to obtain electronic

Abstract: A system is disclosed for desulfurizing liquid fossil fuel comprising: liquid fossil fuel supply; a first mixer; a second mixer; an oxidizer supply; a catalyst supply; an extractant supply; a centrifuge; and an ultrasoncially induced cavitation reactor comprising: a vessel configured to receiving the liquid fossil fuel, oxidizer and catalyst as a multiphase reaction medium; and a vibrating probe disposed within walls of the vessel. The multiphase reaction medium is configured to flow generally parallel to the probe. The probe is configured to produce pressure waves to induce formation of nano-sized bubbles in the multiphase reaction medium along one or more cavitation zones along a length of the probe. The vessel walls are at a distance of approximately 0.5 to 5 times the diameter of a smallest diameter of the probe. The first mixer is configured to receive and mix the liquid fossil fuel supply with the catalyst supply.

Abstract: The present disclosure relates to sustainable and green polylactic acid-based membranes embedded with self-assembled positively and negatively charged multiwalled carbon nanotube/graphene oxide nanohybrids for the removal of organic and inorganic nutrients from wastewater, and methods of synthesis of the same. A positively charged multi-walled carbon nanotube/graphene oxide (f-MWCNT/GO) nanohybrid-based mixed matrix membrane can comprise a self-assembled multi-walled carbon nanotube and graphene oxide (f-MWCNT/GO) nanohybrid, and a polylactic acid (PLA) membrane matrix. The f-MWCNT/GO nanohybrid is integrated into the PLA membrane matrix to form the positively charged mixed matrix membrane. A negatively charged multi-walled carbon nanotubes (f-GO/MWCNTs-COOH) nanohybrid-based mixed matrix membrane can comprise a positively charged Graphene Oxide and negatively charged multi-walled carbon nanotube-COOH (f-GO/MWCNTs-COOH) nanohybrid, and a polylactic acid (PLA) membrane matrix.

Abstract: A blend for lubricating a surface includes a lubricant and a polyepoxide co(ter)polymer additive mixed with the lubricant. The polyepoxide co(ter)polymer additive includes a first block having monomer M1 and a second block having monomer M2. The first monomer M1 includes hexene oxide, HO, or octene oxide, OO, and the second monomer M2 includes propylene oxide, PO.

Abstract: An ultrasonically induced cavitation reactor is disclosed comprising a vessel having an inlet for receiving a processing liquid and an outlet for exiting the processing liquid; and a vibrating probe disposed within walls of the vessel. The processing liquid is configured to flow generally parallel to the probe. The probe is configured to produce pressure waves to induce formation of nano-sized bubbles in the processing liquid along one or more cavitation zones along a length of the probe, wherein the vessel walls are at a distance of approximately 0.5 to 5 times the diameter of a smallest diameter of the probe.

Abstract: The present disclosure provides the use of BAZ1B_K426hy in the preparation of a product for tumor detection and belongs to the field of biotechnology. The present disclosure further provides a group of immunogenic polypeptides, including polypeptide A and polypeptide B. An anti-BAZ1B_K426hy polyclonal antibody is prepared by conducting mixed immunization on an animal with the immunogenic polypeptide. The polyclonal antibody can specifically recognize an endogenous protein BAZ1B_K426hy by enzyme-linked immunosorbent assay (ELISA)/Dot blot/Western blot, which is used for preparation of detection products for tumors and Williams syndrome.

Abstract: Disclosed is a selective field-assisted machining system. The system includes a micron-level high-speed identification module, an in-situ laser assisted module, an ultrasonic vibration module, an energy field loading high-speed control module, and a diamond tool. The micron-level high-speed identification module is used to quickly identify the type of a material substrate of a workpiece to be processed, process the identification information into a corresponding control signal, and send same to the energy field loading high-speed control module to implement selective processing of the workpiece to be processed, i.e. to process brittle particles using in-situ laser assisted machining and to process a soft metal substrate using ultrasonic vibration processing. In the present invention, ultra-precision cutting of brittle particles and a soft metal substrate can be completed at the same time in a single processing process.

Abstract: A non-intrusive load identification method employs a non-intrusive detection device to detect a total current on the main power line (i.e., power entrance) of a power system to identify the types of primary loads. The non-intrusive load identification method obtains a turned-on time interval when the present load of the primary loads is turned on or a turned-off time interval when the present load of the primary loads is turned off, obtains a transient turned-on current or a transient turned-off current based on the turned-on time interval or the turned-off time interval, and converts the transient turned-on current or the transient turned-off current into the present power feature of the present load, thereby identifying the type of the present load.

Abstract: A depth-stage dependent and hyperparameter-adaptive lightweight CNN-based model, named Faster R-Stair, which relates to the field of concrete crack detection technology. The structure of the backbone in this model is depth-stage dependent, which includes suitable structures in different depths. The backbone is also hyperparameter-adaptive. The basic components in different depths of the backbone have variations according to the adjustment of some hyperparameters. The proposed model in this embodiment has the advantages of high convergence speed in training, fast detection speed and high accuracy when used in crack detection.

Abstract: The present technology discloses a three-phase and single-phase two-way charger. According to a specific example of the present invention, a battery charger having a single-stage structure for a combined use of single-phase and three-phase is implemented without an electrolytic capacitor which lowers the reliability and charging efficiency, to enable a compatible use of single-phase and three-phase external power sources, and to improve charging efficiency and the performance in a wide input/output voltage range by a reduced number of switching elements and a soft switching operation of the switching elements and thus improve the reliability and lifetime. A lightweight charger can be realized by integrating, into a core, at least two of an inductor for removing ripples of the battery charger, a primary side and a secondary side of a transformer, and an inductor for removing noise.

Abstract: Disclosed herein are modified zeolites and methods for making modified zeolites. In one or more embodiments disclosed herein, a modified zeolite includes a microporous framework including a plurality of micropores having diameters of less than or equal to 2 nm and organometallic moieties each bonded to bridging oxygen atoms. The microporous framework includes at least silicon atoms and oxygen atoms. The organometallic moieties include a metal atom and a ring structure including the metal atom, a nitrogen atom, and one or more carbon atoms. The metal atom may be bonded to a bridging oxygen atom, and wherein the bridging oxygen atom bridges the metal atom of the organometallic moiety and a silicon atom of the microporous framework.

Abstract: The present disclosure discloses a character offset detection method and system. The method includes: acquiring a text image; performing character separation based on the text image to obtain a character text region; calculating a center point of each rectangular box in the character text region to obtain a center point set; determining an optimal fitted curve based on the center point set; and analyzing character offset based on the optimal fitted curve to obtain an offset result. The present disclosure realizes detection of the character offset based on curve fitting, so that the accuracy of detection is improved.

Abstract: The present invention discloses an in-place non-contact detection method for a shaft workpiece. The method includes: establishing a detection system, calibrating the detection system and establishing a detection coordinate system; analyzing a pose of a workpiece in the detection system to establish a coordinate system of a workpiece clamping device; controlling the workpiece clamping device of a shaft workpiece processing machine tool to rotate, continuously acquiring data by a linear laser measuring instrument, and calculating and analyzing the acquired data to obtain an ideal reference axis of the shaft workpiece; continuously acquiring data of a detection part, and calculating and analyzing the acquired data to obtain actual machining precision of runout of a shaft neck of a camshaft; and continuously acquiring data of the detection part, and calculating and analyzing the acquired data to obtain machining precision of coaxiality of the shaft workpiece.