Abstract: A fermentation process for preparing a postbiotic with a by-product of wheat processing includes: preparation of a material; inoculation of Paenibacillus polymyxa (P. polymyxa)+Brachybacterium paraconglomeratum (B. paraconglomeratum)+Flavobacterium pectinovorum (F. pectinovorum) as fermentation strains; and isolation and extraction of the postbiotic. Since wheat starch wastewater and wheat bran include abundant nutrient components, the wheat starch wastewater and wheat bran can be used to prepare postbiotics, which is conducive to reducing a wastewater treatment cost of a related enterprise and protecting the environment, and can turn waste into treasure and increase an added value of an agricultural product.

Abstract: An auxiliary mounting device and mounting method for a saddle-type window air conditioner. The auxiliary mounting device comprises a base and an airbag; the base is located on a window, an upper end of the airbag is connected to a connecting portion of the saddle-type window air conditioner, a lower end of the airbag is connected to the base), an air hole is provided on the airbag, and a plug is provided at the air hole. When mounting the saddle-type window air conditioner, the airbag is inflated first, and then the saddle-type window air conditioner, together with the base and the airbag, is placed on the window, the base sits on the window, then the airbag is deflated, and the connecting portion gradually descends, along with the deflation of the airbag, in the direction towards the base, thereby enabling the saddle-type window air conditioner to fall slowly. The auxiliary mounting device has a simple structure and is easy to operate.

Abstract: Provided are a battery cell, a battery, and an electrical apparatus. The battery cell includes a case, an electrode assembly, a first electrode terminal, and a cover plate. The case includes a cylinder and a cover body that are integrally formed, and the cylinder has an opening at the end facing away from the cover body. The electrode assembly is accommodated in the case and includes a first tab. The first electrode terminal is arranged on the cover body and is configured for electrical connection with the first tab. The cover plate is connected to the cylinder and covers the opening. The first electrode terminal is mounted to the cover body, which can increase a distance between a joint between the cylinder and the cover plate and the first electrode terminal.

Abstract: Provided are a current collector assembly, a battery cell, and a battery pack. The current collector assembly includes a plurality of layers of tabs, a protection plate, a connection plate, and at least one protrusion. The plurality of layers of tabs is stacked in a thickness direction of each of the tabs. The protection plate is arranged at a side of the plurality of layers of tabs in the thickness direction of each of the tabs. The connection plate is arranged at another side of the plurality of layers of tabs in the thickness direction of each of the tabs. The at least one protrusion is arrange between the connection plate and the protection plate. Each of the at least one protrusion penetrates the plurality of layer of tabs, and is connected to the plurality of layers of tab.

Abstract: Provided are a fibroblast activation protein inhibitor (FAPI) dimer compound, an FAPI dimer-based positron emission tomography (PET) imaging agent for tumor diagnosis, and a preparation method and use thereof. An amphiphilic polyethylene glycol (PEG) chain and a dimerized structure of FAPI in the FAPI dimer compound with a structure shown in formula I can improve the in vivo kinetic properties of the compound and prolong a residence time of the compound in a tumor, thereby improving the uptake and imaging effects in the tumor. The accurate tumor diagnosis can be achieved by labeling the FAPI dimer compound with a diagnostic nuclide (68Ga), which has promising application prospects in PET imaging for diagnosis and in the preparation of a therapeutic nuclide (such as 177Lu or 90Y)-labeled drug for treating a FAP-?-expressing tumor.

Abstract: Provided are a connector, a battery cell, and a battery pack. The connector is configured to electrically connect a plurality of layers of tabs of an electrode plate. The connector includes a connection plate and a protrusion arranged at the connection plate. The protrusion protrudes from a side surface of the connection plate in a thickness direction of the connection plate, and is configured to penetrate the plurality of layers of tabs.

Abstract: An auxiliary mounting device and mounting method for a saddle-type window air conditioner. The auxiliary mounting device comprises a base and two damping assemblies; the base is provided on a window, one of the damping assemblies is provided on one end of a connecting portion close to an indoor portion, and ends thereof are respectively connected to the base and the indoor portion; and the other damping assembly is provided on one end of the connecting portion close to an outdoor portion, and ends thereof are respectively connected to the base and the outdoor portion.

Abstract: A single groove single-sided fastener comprises: a rivet consisting of a rivet head, a polish rod, a locking groove, a tail pulling groove and a tail tooth in sequence, and a lantern ring consisting of a sleeve and a dead head; a tail of the rivet is of a single groove short-tail structure, a ratio of a length of the tail pulling groove to a total length of the tail tooth is 0.1˜1.5, an included angle between a bottom generatrix of the tail pulling groove and an axis of the rivet is ?30°˜0°, two axial ends of the bottom of the tail pulling groove and the tail of the tail tooth are of a fillet transition structure, a ratio of a length of a straight part of the tail tooth to the total length of the tail tooth is 0.1˜1.

Abstract: A single groove single-sided fastener comprises: a rivet consisting of a rivet head, a polish rod, a locking groove, a tail pulling groove and a tail tooth in sequence, and a lantern ring consisting of a sleeve and a dead head; a tail of the rivet is of a single groove short-tail structure, a ratio of a length of the tail pulling groove to a total length of the tail tooth is 0.1˜1.5, an included angle between a bottom generatrix of the tail pulling groove and an axis of the rivet is ?30°˜?0°, two axial ends of the bottom of the tail pulling groove and the tail of the tail tooth are of a fillet transition structure, a ratio of a length of a straight part of the tail tooth to the total length of the tail tooth is 0.1˜1.

Abstract: An intelligent riveting system comprising a hydraulic riveting tool (1), a riveting position identification system, a riveting displacement detection system, a riveting pressure detection system and a central processing system, wherein the central processing system acquires image information and carries out position identification, encoding and storage to form riveting position data in one-to-one correspondence, acquires real-time displacement data and riveting oil pressure data of each riveting position to form real-time data corresponding to riveting displacement values and riveting pressure values, and compares same with a standard to carry out quality determination. By means of the intelligent riveting system, a riveting position and an installation parameter are automatically identified and acquired, and the riveting quality is automatically determined; and by means of storing data during riveting and installation, the traceability of rivet installation quality can be achieved.

Abstract: The present invention discloses a riveting robot, comprising: a robot part provided on a chassis, and detachably coupled with a riveting tool part through a hydraulically quick change disk; a visual position identification part provided on a side of the hydraulically quick change disk and secured on the sixth axis of the front end of the robot part; an automatic rivet feeding part provided on a mounting baseplate which is secured on a chassis through a two-stage vibration damping structure; a riveter tailing material collection part used for collecting tailing materials produced during riveting; a riveting quality judgment part used for collecting riveting data, and processing and generating a riveting curve to realize judgment of the riveting quality.

Abstract: The present invention discloses a riveting robot, comprising: a robot part provided on a chassis, and detachably coupled with a riveting tool part through a hydraulically quick change disk; a visual position identification part provided on a side of the hydraulically quick change disk and secured on the sixth axis of the front end of the robot part; an automatic rivet feeding part provided on a mounting baseplate which is secured on a chassis through a two-stage vibration damping structure; a riveter tailing material collection part used for collecting tailing materials produced during riveting; a riveting quality judgment part used for collecting riveting data, and processing and generating a riveting curve to realize judgment of the riveting quality.

Abstract: A method for obtaining road marking data and a device thereof are provided. The method includes steps of: obtaining coordinates of calibration references on a to-be-marked road; importing the coordinates of the calibration references into an electronic image of the to-be-marked road; determining, according to a difference between the coordinates of the calibration references and coordinates of to-be-calibrated points corresponding to the calibration references in a road image included in the electronic image, whether to perform a calibration on the coordinates of the to-be-calibrated points; and when the difference is greater than a threshold, performing the calibration on the coordinates of the to-be-calibrated points, and using calibrated coordinates of the to-be-calibrated points as road marking data. By applying the present disclosure, the accuracy of road marking data can be improved.

Abstract: An intelligent riveting system comprising a hydraulic riveting tool (1), a riveting position identification system, a riveting displacement detection system, a riveting pressure detection system and a central processing system, wherein the central processing system acquires image information and carries out position identification, encoding and storage to form riveting position data in one-to-one correspondence, acquires real-time displacement data and riveting oil pressure data of each riveting position to form real-time data corresponding to riveting displacement values and riveting pressure values, and compares same with a standard to carry out quality determination. By means of the intelligent riveting system, a riveting position and an installation parameter are automatically identified and acquired, and the riveting quality is automatically determined; and by means of storing data during riveting and installation, the traceability of rivet installation quality can be achieved.

Abstract: A machine learning model training method includes: classifying samples having risk labels in a training sample set as positive samples and classifying samples without risk labels in the training sample set as negative samples; training a risk model with a machine learning method based on the positive samples and the negative samples; obtaining a risk score for each of the negative samples based on the trained risk model; identifying one or more negative samples in the training sample set that have a risk score greater than a preset threshold value; re-classifying the one or more negative samples in the training sample set that have a risk score greater than the preset threshold value as re-classified positive samples to generate an updated training sample set from the training sample set; and re-training the risk model with the machine learning method based on the updated training sample set.

Abstract: A computer-implemented user classification method includes: obtaining, by a target terminal device, an initial user classification model from a server, in which the initial user classification model is provided by the server to multiple terminal devices, the multiple terminal devices including the target terminal device; obtaining first operation data of a registered user of the target terminal device; updating the initial user classification model based on the first operation data, to obtain an updated user classification model that is personalized for the registered user; and classifying, based on the updated user classification model, an identity of a current user of the target terminal device.

Abstract: A card insertion structure suited for a portable electronic device is provided. The portable electronic device includes a housing. The card insertion structure includes a base disposed in the housing, a pressing member movably disposed on the base, and a plastic spring strip disposed on the base. A portion of the pressing member is exposed out of the housing. The plastic spring strip leans against the pressing member and the base. A force supplied via an insertion of an electronic card drives the pressing member to deform the plastic spring strip, and after the electronic card passing by the pressing member and being inserted into the card insertion structure between the base and the housing, the pressing member is released and is restored by resilience of the plastic spring strip, and the electronic card is fixed with the housing by the pressing member.

Abstract: A machine learning model training method includes: classifying samples having risk labels in a training sample set as positive samples and classifying samples without risk labels in the training sample set as negative samples; training a risk model with a machine learning method based on the positive samples and the negative samples; obtaining a risk score for each of the negative samples based on the trained risk model; identifying one or more negative samples in the training sample set that have a risk score greater than a preset threshold value; re-classifying the one or more negative samples in the training sample set that have a risk score greater than the preset threshold value as re-classified positive samples to generate an updated training sample set from the training sample set; and re-training the risk model with the machine learning method based on the updated training sample set.

Abstract: A method for obtaining road marking data and a device thereof are provided. The method includes steps of: obtaining coordinates of calibration references on a to-be-marked road; importing the coordinates of the calibration references into an electronic image of the to-be-marked road; determining, according to a difference between the coordinates of the calibration references and coordinates of to-be-calibrated points corresponding to the calibration references in a road image included in the electronic image, whether to perform a calibration on the coordinates of the to-be-calibrated points; and when the difference is greater than a threshold, performing the calibration on the coordinates of the to-be-calibrated points, and using calibrated coordinates of the to-be-calibrated points as road marking data. By applying the present disclosure, the accuracy of road marking data can be improved.

Abstract: A foam adhering device includes an adhering head, a camera module, and a rotating assembly. The camera module is located below the adhering head and configured to capture a position of foam adhered to the adhering head. The rotating assembly is configured to drive the adhering head to adjust a position of the adhering head according to the position of the foam adhered to the adhering head captured by the camera module. The rotating assembly includes a motor and a transmission assembly. The motor is configured to drive the transmission assembly, and the transmission assembly is coupled to the adhering head and configured to accurately/precisely adjust a position of the adhering head.