Abstract: An optical camera lens includes a first camera lens component including at least one first lens and a second camera lens component including a second lens barrel and at least one second lens mounted in the second lens barrel. The first and second lenses together constitute an imageable optical system. At least one of the two camera lens components has a smooth region located on an end surface of the camera lens component, and a connecting medium for fixing the first and second camera lens components together. A corresponding assembly method of the optical camera lens and a corresponding camera module and an assembly method thereof are also provided. The optical camera lens can improve a pre-positioning accuracy by improving a height measurement accuracy, and can use a distance measuring point as a feature point of image recognition so as to perform pre-positioning and active calibration.

Abstract: The present disclosure relates to the fields of nuclear medicine and molecular imaging, and specifically relates to a dual-targeting compound and a preparation method and application thereof. The dual-targeting compound has the following structure shown in Formula (I). The present disclosure also provides a dual-targeting compound capable of being labeled with a radionuclide, and the compound has the following structure shown in Formula (I-1) or Formula (I-2). The dual-targeting compound of the present disclosure has high affinity for an FAP target and an integrin ?v?3 target, can realize synergistic targeting of the FAP target and the integrin ?v?3 target in tumors, and has high uptake in tumors and long retention time in tumors.

Abstract: Aqueous hydrocortisone sodium phosphate and monothioglycerol formulations are disclosed.

Abstract: The present invention provides a high-efficient magnesium ion removal system for salt lake brine based on in situ alkali production using bipolar membrane electrochemical process, it is constructed with cathode, cathode cell, anode, anode cell, and anion exchange membranes, bipolar membranes, acid cells, alkali cells, mesh materials for precipitate aggregation, acid-washing cells.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: The embodiment of the present disclosure provides a display panel and a display apparatus. The display panel includes a long side, a short side, a display pixel, a scan driving circuit, a drive circuit board, and chips on film. one end of each chip on film is coupled to the short side, and another end is coupled to the drive circuit board. The drive circuit board and the scan driving circuit of the embodiment of the present disclosure are respectively located on the short side and the long side of the display panel to improve the problem that the font is easily deformed during display.

Abstract: The present invention discloses a same-cavity integrated vertical high-speed multistage superfine pulverizing device and method for walnut shells. The same-cavity integrated vertical high-speed multistage superfine pulverizing device for walnut shells includes a double-channel sliding type feeding device and a same-cavity integrated vertical pulverizing device. The same-cavity integrated vertical pulverizing device includes a material lifting disc and a same-cavity integrated vertical pulverizing barrel. A first-stage coarse crushing region, a second-stage fine crushing region, a third-stage pneumatic impact micro pulverizing region and a fourth-stage airflow mill superfine pulverizing region are disposed in the same-cavity integrated vertical pulverizing barrel.

Abstract: The present disclosure provides compounds and pharmaceutically acceptable salts thereof, and methods of using the same. The compounds and methods have a range of utilities as therapeutics, diagnostics, and research tools. In particular, the subject compositions and methods are useful for reducing signaling output of oncogenic proteins.

Abstract: The present invention belongs to the field of alkaline polymer electrolyte membranes, and relates to a comb-shaped structure polybenzimidazole anion exchange membrane with high conductivity and preparation method thereof. In the invention, firstly, polybenzimidazole is grafted with the non-cationic side chains to the max grafting rate to synthesize the de-protonated comb-shaped polybenzimidazole material, avoiding the N—H in benzimidazole forms ionic binding with cationic functional groups, which will reduce the reactivity and mobility of cationic groups; then react de-protonated comb-shaped polybenzimidazole with quaternization reagent to attach the pendent side chain with cationic functional groups, making it easy to aggregate to form ion clusters and hydrophilic/hydrophobic microphase separation. The anion exchange membrane prepared in this invention has excellent conductivity, mechanical properties and alkaline stability.

Abstract: The disclosure relates to a table (100). The table (100) has a table top (102), a plurality of legs (104) connectable to the table top (102), and an air purifier (106) adapted to be placed below the table top (102). A bottom side of the table top (102) is provided with at least one groove (112) extending in a circumferential direction for preventing liquid from traveling from an outer edge of the table top (102) along the bottom side of the table top (102) and reaching an inner section of the air purifier (106). The disclosure also relates to a method for purifying air using a table (100).

Abstract: One embodiment provides an apparatus comprising a memory stack including multiple memory dies and a parallel processor including a plurality of multiprocessors. Each multiprocessor has a single instruction, multiple thread (SIMT) architecture, the parallel processor coupled to the memory stack via one or more memory interfaces. At least one multiprocessor comprises a multiply-accumulate circuit to perform multiply-accumulate operations on matrix data in a stage of a neural network implementation to produce a result matrix comprising a plurality of matrix data elements at a first precision, precision tracking logic to evaluate metrics associated with the matrix data elements and indicate if an optimization is to be performed for representing data at a second stage of the neural network implementation, and a numerical transform unit to dynamically perform a numerical transform operation on the matrix data elements based on the indication to produce transformed matrix data elements at a second precision.

Abstract: An automobile hub fixture includes a fixture body and a positioning apparatus. The fixture body includes a fixed platform and a plurality of clamping claws arranged at intervals in a circumferential direction of the fixed platform. The clamping claws are configured to clamp an outer rim of a hub. The plurality of clamping claws are connected to a driving member by using a linkage, and the driving member drives the clamping claws to radially move along the fixed platform. The positioning apparatus includes a movable platform slidably connected to the clamping claws. A positioning module configured to position an inner rim or the outer rim of the hub is mounted to the movable platform. The machining device includes a fixture, a machine tool, and a minimal quantity lubrication apparatus. The production line includes a machining device, a loading system, a loading and unloading manipulator, and a catching table.

Abstract: A battery unit includes an electrode assembly and a support component. The electrode assembly includes a positive electrode plate and a negative electrode plate that have opposite polarities, and a separator separating the positive electrode plate and the negative electrode plate. The electrode assembly is wound around an outer periphery of the support component. An outer peripheral wall surface of the support component includes a first arc surface and a second arc surface. A first end of the first arc surface is connected to a first end of the second arc surface, and a second end of the first arc surface is spaced apart from a second end of the second arc surface so as to form a step region on the outer peripheral wall surface. The step region is configured to accommodate at least part of the electrode assembly.

Abstract: A three-stage tubular T-shaped degassing device with microbubble axial flow and spiral flow fields is provided, which is applied to quick degassing of a gas-liquid two-phase flow. The three-stage tubular T-shaped degassing device adopts a quick degassing technology combining a microbubble uniform mixed rotational axial flow field and a spiral runner conical spiral flow field with layered jet collision reversing depth degassing. A microbubble uniform mixer is configured to adjust gas-liquid two-phase flow containing big bubbles into microbubble uniform mixed axial flow. A microbubble cyclone is configured to adjust the microbubble uniform mixed axial flow into multiple strands of rotational axial flows containing microbubbles. A rotational axial flow degasser implements the horizontal type microbubble uniform mixed multiple strands rotational axial flow degassing operation to remove most microbubbles to form axial flow gas and axial flow liquid.

Abstract: The three-stage axial flow degassing device adopts an efficient degassing technology including a vertical high speed swirling field, a horizontal rapid axial flow field and a vertical reversing scrubbing field formed by a combination of vertical tubes; the first-stage degasser performs the first-stage segmental vertical high speed swirling degassing operation, removes the gas phase carried by the gas-containing fluid, and forms a primary gas and a primary fluid; the microporous uniform mixer breaks bubbles of the primary fluid and forms a gas-liquid uniform mixed flow; the second-stage degasser performs the second-stage horizontal vane wheel swirling generating rapid axial flow degassing operation, removes the gas phase carried by the gas-liquid uniform mixed flow, and forms a secondary gas and a secondary fluid; the third-stage degasser performs the third-stage vertical reversing deep degassing operation, removes liquid phase carried by the secondary gas, and forms a tertiary gas and a tertiary fluid.

Abstract: A network node, wireless device, method and system are provided. In one or more embodiments, a network node (16) for servicing a plurality of wireless devices (22) using a plurality of carriers is provided. Each carrier of the plurality of carriers is configured with a respective plurality of beams. The network node (16) includes processing circuitry (68) configured to: determine a metric associated with Multiple User-Multiple Input Multiple Output, MU-MEMO, usage with respect to the plurality of carriers, and initiate at least one handover of at least one of the plurality of wireless devices (22) to a different carrier of the plurality of carriers based at least in part on the metric.

Abstract: An apparatus to facilitate optimization of a convolutional neural network (CNN) is disclosed. The apparatus includes optimization logic to receive a CNN model having a list of instructions and including pruning logic to optimize the list of instructions by eliminating branches in the list of instructions that comprise a weight value of 0.

Abstract: Some embodiments of the disclosure provide a method for measuring lesion features of hypertensive retinopathy. In some examples, the method includes: acquiring a fundus image (s110); identifying an optic disc region of the fundus image and dividing the fundus image into at least three regions including a first region (c1), a second region (c2), and a third region (c3) on the basis of the optic disc region (b) (s120); performing artery and vein segmentation on the fundus image by a deep learning-based arteriovenous segmentation model to obtain the arteriovenous segmentation result (s130), the arteriovenous vessel annotation results including an artery annotation result (e1), a vein annotation result (e2), and a small vessel annotation result (e3); and measuring lesion features in the fundus image on the basis of the three regions (c1, c2, c3) and the arteriovenous segmentation result (s140).