Abstract: The present invention provides a cleaning composition comprises water; one or more organic acid; at least two surfactants wherein the first type surfactant is a diphenyl disulfonic surfactant, the second type surfactant has a surface tension of less than 50 dynes/cm at 0.01 wt % concentration in water, and the second type surfactant is not the first type surfactant; and optionally fluoride compounds, polymers, corrosion inhibitors, biological preservatives, pH adjusting agents.

Abstract: The present application discloses a liquid crystal alignment method, a liquid crystal display panel, and a mobile terminal. In a liquid crystal alignment process, a first common electrode receives an alignment voltage, and a pretilt angle of a liquid crystal molecule arranged corresponding to a slit is smaller than a pretilt angle of a liquid crystal molecule arranged corresponding to a branch electrode. In an actual driving process, because an overall pretilt angle of liquid crystal molecules is increased and pretilt angles in a same domain of a subpixel are differentiated, a response time and view angle features of medium and low grayscale of the liquid crystal display panel can be improved.

Abstract: This application discloses a display panel and a mobile terminal. The display panel includes a pixel array and data lines. The pixel array includes sub-pixels. A data line is connected to sub-pixels with same polarity in a column of sub-pixels, and the data line and sub-pixels connected to the data line are spaced by at least one sub-pixel, to form a column-spaced connection manner between the data line and the sub-pixels. Thereby, the display panel can reduce crosstalk and improve the charging uniformity.

Abstract: A method of forming a semiconductor device includes forming a source/drain region on a substrate and forming a first interlayer dielectric (ILD) layer over the source/drain region. The method further includes forming a second ILD layer over the first ILD layer, forming a source/drain contact structure within the first ILD layer and the second ILD layer, and selectively removing a portion of the source/drain contact structure to form a concave top surface of the source/drain contact structure.

Abstract: The image recognition method includes: obtaining an image data stream, wherein the image data frame includes a current frame; performing image recognition on an object in the current frame to generate a first box corresponding to the current frame; detecting movement of the object to generate a second box corresponding to the current frame; and determining the object as a tracking target according to the first box and the second box.

Abstract: Disclosed is a method for enhancing the removal of a per- and polyfluoroalkyl substances (PFAS) component from waste water using a cationic polymer (e.g., a cationic polymer flocculant or coagulant). The cationic polymer enables gas that is diffused through the waste water to carry at least a portion of the PFAS component to the surface of water, creating a foam that can then be removed.

Abstract: An inertial measurement unit (IMU) device includes a circuit board assembly including a rigid circuit board and a flexible circuit board, an IMU sensor disposed on the rigid circuit board, and a heat preservation system. The IMU sensor is electrically connected to an external element through the flexible circuit board to transmit at least one of a signal or power between the IMU sensor and the external element. The heat preservation system includes a heat source, a heat preservation body with a receiving space to accommodate the IMU sensor, and a heat conductive member configured to transfer heat from the heat source to the IMU sensor to maintain the IMU sensor at a preset temperature. The heat conductive member includes an electrically insulating and thermally conductive silicone.

Abstract: Techniques for training a machine-learning (ML) model for captioning images are disclosed. A plurality of feature vectors and a plurality of visual attention maps are generated by a visual model of the ML model based on an input image. Each of the plurality of feature vectors correspond to different regions of the input image. A plurality of caption attention maps are generated by an attention model of the ML model based on the plurality of feature vectors. An attention penalty is calculated based on a comparison between the caption attention maps and the visual attention maps. A loss function is calculated based on the attention penalty. One or both of the visual model and the attention model are trained using the loss function.

Abstract: A method of forming a semiconductor device includes forming a source/drain region on a substrate and forming a first interlayer dielectric (ILD) layer over the source/drain region. The method further includes forming a second ILD layer over the first ILD layer, forming a source/drain contact structure within the first ILD layer and the second ILD layer, and selectively removing a portion of the source/drain contact structure to form a concave top surface of the source/drain contact structure.

Abstract: Systems and methods for training a machine learning (ML) ranking model to rank genealogy hints are described herein. One method includes retrieving a plurality of genealogy hints for a target person, where each of the plurality of genealogy hints corresponds to a genealogy item and has a hint type of a plurality of hint types. The method includes generating, for each of the plurality of genealogy hints, a feature vector having a plurality of feature values, the feature vector being included in a plurality of feature vectors. The method includes extending each of the plurality of feature vectors by at least one additional feature value based on the number of features of one or more other hint types of the plurality of hint types. The method includes training the ML ranking model using the extended plurality of feature vectors and user-provided labels.

Abstract: The present invention provides exosomal microRNAs as a marker for schizophrenia and the use thereof. Specifically, the present invention provides the use of reagent materials and/or instrumentation for detecting microRNA level in a sample from an individual to be tested in the manufacture of a detection system for diagnosing the risk of developing schizophrenia, the microRNA comprising: hsa-miR-206, hsa-miR-145-5p, hsa-miR-133a-3p, hsa miR-143-3p, hsa-miR-144-5p, hsa-miR-144-3p, hsa-miR-184, hsa-miR-499a-5p, hsa-miR-3614-5p, hsa-miR-941, hsa-miR-30c-5p, hsa-miR-339-5p, hsa-miR-30b-5p, and/or hsa-miR-6515-5p. The exosomal miRNAs of the present invention can be used as a biomarker for diagnosing patients with first-episode schizophrenia.

Abstract: A method for controlling an unmanned aerial vehicle (UAV) includes receiving, by a processor of the UAV, a plurality of images captured by an imaging device coupled to the UAV, identifying, by the processor, a target in at least one image of the plurality of images, determining, by the processor, whether the target is a stationary target or a moving target based on analyzing the plurality of images, and automatically effecting, by the processor, movement of the UAV based on determining the target is the stationary target or the moving target.

Abstract: Hybrid machine-learning systems and methods can be used to perform automatic keyphrase extraction from input text, such as historical records. For example, a computer-implemented method for extracting keyphrases from input text can include receiving input text having a plurality of words and identifying a set of candidate phrases from the plurality of words and a score for each of the candidate phrases using one or more unsupervised machine-learning models. The method can also include identifying named entities from the set of candidate phrases using one or more supervised machine-learning models and determining an updated set of scores for at least some of the candidate phrases within the set based on the named entities identified using the supervised machine-learning model. The method can also include identifying a keyphrase from the set of candidate phrases based on the updated set of scores.

Abstract: OCR-text correction system and method embodiments are described. The OCR-text correction embodiments comprise or cooperate with a transformer-based sequence-to-sequence language model. The model is pretrained to denoise corrupted text and is fine-tuned using OCR-correction-specific examples. Text obtained at least in part through OCR is applied to the fine-tuned pretrained transformer model to detect at least one error in a subset of the text. Responsive to detecting the at least one error, the fine-tuned pretrained transformer model outputs an updated subset of the text to correct the at least one error.

Abstract: An improved microparticle or lyophilized or otherwise reconstitutable microparticle composition thereof for medical therapy, including ocular therapy.

Abstract: A liquid crystal display panel, a liquid crystal alignment method and a mobile terminal are provided. In a liquid crystal alignment process, an electrode layer receives an alignment voltage, and a pretilt angle of a liquid crystal molecule arranged corresponding to a branch electrode is less than a pretilt angle of a liquid crystal molecule arranged corresponding to a slit. Because an overall pretilt angle of liquid crystal molecules in a liquid crystal layer is increased and pretilt angles in a same domain of a subpixel are differentiated, a response time and viewing angle features of medium and low grayscale of the liquid crystal display panel can be improved.

Abstract: An improved microparticle or lyophilized or otherwise reconstitutable microparticle composition thereof for medical therapy, including ocular therapy.

Abstract: Systems, methods, and devices are provided for controlling an unmanned aerial vehicle (UAV) associated with flight response measures. The flight response measure may be generated by assessing one or more flight-restriction strips, assessing at least one of a location or a movement characteristic of the UAV relative to the one or more flight-restriction strips, and directing, with aid of one or more processors, the UAV to take one or more flight response measures based on at least one of the location or movement characteristic of the UAV relative to the one or more flight-restriction strips.

Abstract: The present invention is a surface treated drug-loaded solid (e.g., non-porous) microparticle that aggregates in vivo to form a consolidated larger particle for medical therapy. In one embodiment, the particles are used for ocular therapy. Processes for producing the surface treated microparticle and injectable formulations which include the surface treated microparticle are also provided. When used in the eye, long-term consistent intraocular delivery can be achieved without disrupting vision and minimizing undesirable inflammatory responses.

Abstract: Systems and methods for training a machine learning (ML) ranking model to rank genealogy hints are described herein. One method includes retrieving a plurality of genealogy hints for a target person, where each of the plurality of genealogy hints corresponds to a genealogy item and has a hint type of a plurality of hint types. The method includes generating, for each of the plurality of genealogy hints, a feature vector having a plurality of feature values, the feature vector being included in a plurality of feature vectors. The method includes extending each of the plurality of feature vectors by at least one additional feature value based on the number of features of one or more other hint types of the plurality of hint types. The method includes training the ML ranking model using the extended plurality of feature vectors and user-provided labels.