Abstract: Various embodiments include methods performed by an access point (AP) for supporting communications of an electronic shelf label (ESL) network and a wireless local area network (WLAN). Embodiments may include implementing a coexistence communication priority policy for communications with ESLs and the WLAN in response to a change in an ESL network operating mode, sharing the coexistence communication priority policy with WLAN firmware of the AP, and using the coexistence communication priority policy in communications with ESLs. The coexistence communication priority policy may alter allocations of sub-slots within a frame structure of an ESL protocol to adjust the time available for packet transmissions in the WLAN and transmissions to and from ESLs.

Abstract: An adapter is provided. The adapter is installed on a cartridge that is detachably arranged on a main body of an image forming apparatus, the image forming apparatus including an accommodation cavity, a conductive unit, a matching unit, and an electric signal responding unit. The adapter includes an electric signal triggering assembly configured to electrically connect with the conductive unit and trigger the electric signal responding unit to obtain a predetermined responding signal, when the electric signal triggering assembly is installed on the cartridge and the cartridge is installed to the predetermined position in the accommodation cavity. The predetermined responding signal is configured to determine whether an installation of the cartridge meets an expectation.

Abstract: The present application provides a display panel, including a demultiplexer circuit and a plurality of driving modules, where the demultiplexer circuit includes at least one select line group and a plurality of switching elements, the select line group including a plurality of select lines, and a plurality of select lines of the at least one select line group being respectively connected to corresponding driving modules through the switching elements; one frame of image of the display panel includes a plurality of hold frames; the select line is configured to receive a first pulse in the hold frame, and during the duration of the first pulse, a switching element connected to the select line conducts to cause the corresponding driving module to receive a bias voltage; and the duration of the first pulse received by at least one of the select lines covers a plurality of the hold frames.

Abstract: The present disclosure relates to a lumbar-vertebra magnetic resonance imaging method and apparatus, a computer device, a computer-readable storage medium, and a computer program product. The method includes: acquiring a sequence for lumbar vertebrae in a magnetic resonance imaging process; the sequence including water-fat in-phase echo signals corresponding to different echo times; determining an initial transverse relaxation rate map corresponding to the lumbar vertebrae and an initial field map representing inhomogeneity of a static magnetic field applied to the lumbar vertebrae according to a signal intensity of each water-fat in-phase echo signal, an echo time of each water-fat in-phase echo signal, and a pre-constructed signal model; taking the initial transverse relaxation rate map and the initial field map as initialization reconstruction parameters of water-fat separation, and reconstructing a water-fat separation image of the lumbar vertebrae.

Abstract: An application of a reagent for detecting blood metabolites in the preparation of a product for the diagnosis of colorectal cancer is provided, which belongs to the technical field of disease diagnostic reagents. The blood metabolites include one or more of BN03, BP01, TLCA, or LCA. These blood metabolites can distinguish between healthy individuals and patients with colorectal lesions, serving as biomarkers for colorectal cancer diagnosis.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment may receive an indication that identifies one or more neighbor cells, of a set of neighbor cells, that support a service; and perform a cell reselection process based at least in part on the indication that the one or more neighbor cells support the service. Numerous other aspects are provided.

Abstract: A driving assistance system includes a vehicle attitude detection unit, camera units, a processing unit, and a display unit. The vehicle attitude detection unit detects a driving state of the vehicle in real time after the vehicle is started and obtain a vehicle attitude detection signal. The processing unit has a first interface, a second interface, and a third interface. The processing unit is connected to the vehicle attitude detection unit through the first interface and is configured to receive the vehicle attitude detection signal outputted by the vehicle attitude detection unit and receive, through the second interface, image data obtained by the camera unit corresponding to the vehicle attitude detection signal. The display unit is connected to the third interface of the processing unit and is configured to receive and display the image data.

Abstract: Described herein are absorbent composites containing a superabsorbent material and a fibril filler substantially distributed throughout the superabsorbent material. Also described herein are methods of producing absorbent composites containing a superabsorbent material and a fibril filler substantially distributed throughout the superabsorbent material. Compositions and methods described herein are useful in a variety of absorbent products.

Abstract: A method and system for extracting a target signal based on maximum correlated kurtosis deconvolution are provided, which relate to a field of signal processing. The method includes: obtaining a microwave signal of a brain of a subject to be tested; filtering the microwave signal by using maximum correlated kurtosis deconvolution to obtain a filtered signal; performing mode decomposition on the filtered signal by using a complete ensemble empirical mode decomposition with adaptive noise to obtain a target response signal; and performing image reconstruction on the target response signal by using a delay sum beamforming to obtain a target bleeding image.

Abstract: The present invention relates to an intelligent recognition method for job contents of barbershop employees, which belongs to the technical field of machine vision, comprising the following steps: S1: setting installation locations and installation conditions for collection devices; S2: establishing a label set of barbershop employee faces and customer faces, and training a face recognition model; S3: establishing an action label set related to items, tools and people, and training a barbershop action behavior recognition model; S4: conducting action behavior recognition for a practical barbershop service scenario by using the trained face recognition model and the barbershop action behavior recognition model; and constructing behavior sequences of “action pairs” involving elements from customers, employees and actions; S5: establishing a job content recognition label; and constructing a deep neural network model for job content recognition to determine service job contents of barbershop employees for custome

Abstract: A resistance gene TaCAT to FCR of wheat and an application thereof are provided, which relates to the field of biological genetic engineering technologies. The nucleotide sequence of a genome where the TaCAT gene is located, the nucleotide sequence of a cDNA, the nucleotide sequence of a CDS and a coded protein sequence are respectively as shown in SEQ ID NO: 1, SEQ ID NO: 2, SEQ ID NO: 3 and SEQ ID NO: 4. An InDel marker is developed for identifying different allelotypes of the TaCAT gene. An application of the TaCAT gene for preparation of transgenic plant cells and plant breeding is provided. The molecular genetic basis of the resistance to FCR is disclosed, an important role is played in improving the resistance to FCR by utilizing a genetic engineering technology, and a new way is provided for breeding a new wheat variety with disease-resistance and safety.

Abstract: An optical imaging lens of the present invention comprises a light-shielding plate and two pieces of activated reactive bonding film positioned between two lens elements. The activated reactive bonding film are in a shape of ring. One of the pieces of activated reactive bonding film is positioned between an object-side surface of the light-shielding plate, facing an object side, and an image-side bearing surface of one of the two lens elements, corresponding to the mounting portion and facing an image side, and the other one is positioned between an image-side surface of the light-shielding plate, facing the image side, and an object-side bearing surface of the other one of the two lens elements, corresponding to the mounting portion and facing the object side. With respect to each of the pieces of activated reactive bonding film, the optical imaging lens may satisfy two inequalities.

Abstract: An electrical connector is provide and includes a housing with an interior that includes first terminal receiving grooves which are communicated with a outer connecting side and an inner connecting side; a rear cover that cooperates with the housing to form a penetrating window. An inner row of conductive terminals can be positioned in the first terminal receiving grooves so that soldering leg portions of the conductive terminals are exposed in the penetrating window. An outer row of conductive terminal can be positioned in the first terminal receiving grooves with soldering leg portions that are exposed to a side of the rear cover away from the housing. The electrical connector can provide two regions to expose the soldering leg portions of two types of signal terminals, can be compatible with a conventional AOI lens in industry to inspect vertically from up to down, and helps promotes inspecting.

Abstract: A firmware configuration method and system of a Retimer chip, an electronic device, and a medium are provided in the disclosure. The firmware configuration method of the Retimer chip includes: acquiring a storage in-place signal and a storage node authentication signal; causing a BMC to write corresponding firmware configuration to the Retimer chip based on the storage in-place signal and the storage node authentication signal; and changing CPU configuration and a communication link of a storage node based on the storage in-place signal, so that the CPU configuration and the communication link are adapted to the firmware configuration of the Retimer chip.

Abstract: The present disclosure provides a wiring method and system, a device, a storage medium, and a chip. The wiring method comprises: cross-connecting a storage medium to at least two control nodes so that dual ports of the storage medium are respectively connected to different processor ports of different control nodes; merging long distance lines between the at least two control nodes and the storage medium using re-timers; and dynamically configuring a physical address corresponding to each line of the control node so that a physical address of the storage medium remains consistent when connected to different control nodes. The wiring method can solve the problem of the count of re-timers under the premise of consistent physical addresses, thereby optimizing the wiring layout, reducing redundant architecture, and improving the operation efficiency of the entire machine.

Abstract: Provided is a system for testing a machine learning (ML) model based on simulations in an offline environment that includes at least one processor programmed or configured to receive historical transaction data, generate online simulation data, wherein generating the online simulation data includes modifying the historical timestamp of each data record to provide online simulation data. The processor is further programmed or configured to determine a timeline for a plurality of data insertion actions and a plurality of data request actions based on the online simulation data, perform a simulation of online activities involving a stateful ML model using the timeline for the plurality of data insertion actions and the plurality of data request actions, and validate the stateful ML model based on the simulation of online activities. Methods and computer program products are also provided.

Abstract: Provided are a radio frequency (RF) system, an impedance tuning method, and an electronic device. The RF system includes a first RF path, a second RF path, a first power detector, and a processor. The first RF path includes a first coupler and a first antenna radiator. The second RF path includes a second antenna radiator. The first power detector is electrically connected with the first coupler, and used to obtain, through the first coupler, a first coupled power received by the first antenna radiator from the second antenna radiator when the second antenna radiator transmits an antenna signal. The processor is configured to obtain a first voltage standing wave ratio (VSWR) based on the first coupled power, and generate, when the first VSWR is outside a preset VSWR range, a first impedance adjustment instruction used to make the first VSWR fall within the preset VSWR range.

Abstract: Methods of forming interconnects and electronic devices are described. Methods of forming interconnects include forming a tantalum nitride layer on a substrate; forming a ruthenium layer on the tantalum nitride layer; and exposing the tantalum nitride layer and ruthenium layer to a plasma comprising a mixture of hydrogen (H2) and argon (Ar) to form a tantalum doped ruthenium layer thereon. Apparatuses for performing the methods are also described.

Abstract: The present invention relates to a multi-party semi-supervised learning method for recommending potential users of financial products, and falls within the field of big data recommendation. To address the challenge faced by financial product providers who possess only positive labeled data and thus cannot perform effective customer recommendation, the method conducts multiple rounds of random sampling on unlabeled data from multiple other parties while preserving data privacy and security. Through this process, multiple balanced binary classification datasets comprising both positive and pseudo-negative samples are constructed. Based on each balanced dataset, a vertical federated learning model is then trained using a base estimator. Based on the collective prediction results generated by the vertical federated learning models, reliable positive samples are identified from the unlabeled data.