Abstract: A control circuit for a switching power converter is disclosed herein. The control circuit includes a power input terminal, a switching step-down regulator module, and a low dropout linear regulator module. The power input terminal is configured to receive an input signal. The switching step-down regulator module has a step-down regulating input terminal and a step-down output terminal. The step-down regulating input terminal is coupled to the power input terminal, and the switching step-down regulator module is configured to provide a step-down output voltage at the step-down output terminal. The low dropout linear regulator module is coupled to the power input terminal and the step-down output terminal, and is configured to be powered by the power input terminal in a first operation period and be powered by the step-down output voltage in a second operation period.

Abstract: The present invention disclosed a method for calibrating distributed hydrologic model parameters based on multipoint parallel correction, comprising: dividing the research-targeted basin into several sub-basins according to the position of the hydrometric stations of the main stream and larger tributaries within the research-targeted basin, when performing model parameter calibration, dividing the research-targeted basin into several parameter calibrated units according to the positional relationship of the sub-basins and the data situation of the hydrometric stations; integrating the hydrological model parameters of each parameter-calibrated unit to give the hydrological model parameters of the entire basin.

Abstract: A posture stability detection system including a pressure pad, a camera and a processor is provided. The pressure pad is configured to sense a pressure distribution exerted by a to-be-tested subject. The camera is configured to capture a plurality of posture images of the to-be-tested subject. The processor is configured to: obtain a COP position of the to-be-tested subject according to the pressure distribution in a sample; obtain a COP distribution circle of the to-be-tested subject according to the COP positions in several samples; obtain a COP stability value of the to-be-tested subject according to the COP distribution circles; analyze each posture image to obtain a backbone stability value; and, obtain a posture stability value according to the backbone stability value and the COP stability value.

Abstract: A packet processing method and apparatus, and a related device, the method including generating, by a first device, a flow filtering rule, where the flow filtering rule includes a match item and an action item, and where the match item comprises an Internet Protocol (IP) address and an autonomous domain identifier, and sending, by the first device, the flow filtering rule to a second device, where the action item is used to instruct the second device to process, based on a packet processing mode indicated by the action item, a packet matching the match item.

Abstract: Implementations are described herein for automatically labeling synthetic plant parts in synthetic training images, where the synthetic training images and corresponding labels can be used as training data for training machine learning models to detect, segment, and/or classify various parts of plants in digital images. In various implementations, a digital image may be obtained that captures an area. The synthetic training image may be generated to depict one or more three-dimensional synthetic plants in the area. In many implementations, a plant mask, identifying individual plants as a whole in the synthetic training image, as well as a part mask, uniquely identifying one or more parts of the synthetic plant models, can be overlaid on the synthetic training image to label the one or more parts of the synthetic plant models.

Abstract: Implementations are described herein for using one or more transformer networks to generate inferred image data based on processing image data capturing a particular geographic area during a particular time period, including first image data captured in a first spectral band and at a first spatial (and/or temporal) resolution and second image data captured in a second spectral band and at a second spatial (and/or temporal) resolution. The inferred image data can include second spectral information at the first spatial (and/or temporal) resolution, or vice versa. Thus, the spatial and/or temporal resolution of image data of a certain spectral band can be improved, allowing for more effective usage of satellite imagery in agricultural settings.

Abstract: A manufacturing system includes a substrate disposed on a conveyer system. The conveyer system includes a pair of side supports. The substrate is moved on the conveyer system until the substrate is disposed over a bottom support block. The bottom support block is raised to physically contact the substrate. A transfer arm module is provided. The transfer arm module includes a flat bottom surface and an opening formed in the flat bottom surface. The transfer arm module is disposed with the flat bottom surface physically contacting the substrate opposite the bottom support block. A vacuum is enabled through the opening of the transfer arm module. The substrate is lifted off the bottom support block using the vacuum. The substrate is moved over a printing pallet using the transfer arm module. The vacuum is disabled when the substrate is in a positioning area of the printing pallet.

Abstract: Implementations are described herein for leveraging an agricultural knowledge graph to generate messages automatically. In various implementations, an agricultural event may trigger proactive performance of one or more of the following operations. Nodes of the agricultural knowledge graph may be identified as related to the agricultural event, including field node(s) representing subject agricultural field(s) to which the agricultural event is relevant and other node(s) connected to one or more of the field nodes by edge(s). Machine learning model(s) may be accessed based on the identified nodes and/or the edges that connect the identified nodes. Data relevant to the subject agricultural field(s) may be retrieved from data source(s) controlled by an agricultural entity and processed based on the machine learning model(s) to generate inference(s) about the subject agricultural field(s).

Abstract: A semiconductor manufacturing equipment cleaning system has a multi-station cleaning and inspection system. Within semiconductor manufacturing equipment cleaning system, a tray cleaning station uses a first rotating brush passing over a first surface of a carrier and possibly semiconductor die, and a second rotating brush passing over a second surface of the carrier and semiconductor die opposite the first surface of the carrier and semiconductor die. Debris and contaminants dislodged from the first surface and second surface of the carrier by the first rotating brush and second rotating brush are removed under vacuum suction. A conveyor transports the carrier through the multi-station cleaning and inspection system. The first rotating brush and second rotating brush move in tandem across the first surface and second surface of the carrier. Air pressure is injected across the first rotating brush and second rotating brush to further remove debris and contaminants.

Abstract: Implementations relate to updating agricultural records that include inferences gathered by one or more sensors deployed at an agricultural location. The records are matched to mapping tiles of a mapping application and the mapping tile records are updated according to the updated data that was received. Implementations further include identifying parent tiles to each of the updated records, where a parent tile is an aggregation of multiple mapping tiles that can be utilized by a mapping application to render an interface that allows a user to view the data with varying degrees of granularity.

Abstract: Disclosed is a fastening device and a method of removably attaching an object to a surface of a material, the fastening device including a base, rotatable around an axis of rotation; a support frame mechanically supporting the base allowing the base to rotate with respect to the support frame, the axis of rotation of the base being transverse to a reference plane of the support frame; an open-ring shaped piercing member including secured and piercing ends, secured end attached to the base, and the piercing member configured so the piercing end follows a first curved trajectory when the base is rotated; and a first abutment, on the support frame and configured to cause the piercing end of the piercing member to follow a second curved trajectory; so the plane of the second trajectory is offset by a deviation angle from the plane of the first trajectory.

Abstract: A server includes a management module that includes a memory device and that is configured to be connected to multiple data storage devices. The management module is configured to perform an initialization procedure, in which the management module obtains multiple pieces of storage identifier information corresponding to the data storage devices, determines, for each of the pieces of storage identifier information, whether the piece of storage identifier information matches any piece of default identifier information contained in a list stored in the memory device, and generates piece(s) of log data for matched piece(s) of storage identifier information.

Abstract: Implementations are described herein for integrating phenotyping machine learning (ML) models with an agricultural knowledge graph (AKG) to facilitate streamlined and flexible phenotypic inferences. In various implementations, the AKG may be traversed based on input including image(s) of crops growing in an agricultural plot until a destination node is reached. The AKG may include a phenotypic taxonomy of nodes representing a taxonomic hierarchy of organisms, with the destination node corresponding to a level of the phenotypic taxonomy that is commensurate in scope with the input. The phenotypic taxonomy of nodes may provide access to a corresponding taxonomy of phenotyping ML models, each trained to generate phenotypic inference(s) at a specificity that corresponds to a level of the phenotypic taxonomy. The crop image(s) may be processed using the phenotyping ML model that is accessible via the destination node to generate phenotypic inference(s) about the agricultural plot.

Abstract: The present invention relates to a combination of a histone deacetylase (HDAC) inhibitor, chidamide in an acidic salt form, and a nonsteroidal anti-inflammatory drugs (NSAIDs), celecoxib in a basic salt form. The present invention also relates to methods which significantly regulate tumor microenvironment and therefore dramatically improve anti-cancer activity.

Abstract: Disclosed herein are compounds of formula (I) that are PU.1 inhibitors. Also provided herein are methods or preparing these compounds.

Abstract: An immersion cooling system miniaturized by the omission of a pump and heat exchanger includes a first casing for containing a non-conductive coolant in which a heat-generating component is immersed, fins disposed on and located outside the first casing, and a second casing. The first casing is disposed in the second casing, and the second casing defines a first vent hole exposing the fins. The immersion cooling system dissipates heat by means of natural convection.

Abstract: A stacked aluminum electrolytic capacitor includes a lead frame, a capacitor set, and at least one laser welding area. The lead frame includes a positive electrode end and a negative electrode end spaced from the positive electrode end. The capacitor set includes a plurality of stacked capacitor elements each having a positive electrode portion electrically connected to the positive electrode end and a negative electrode portion electrically connected to the negative electrode end. The at least one laser welding area is configured by a laser source capable of emitting a laser beam to perform laser welding on the positive electrode end and the positive electrode portion to form a fusion connection therebetween.

Abstract: Example method and apparatus, systems, and articles of manufacture for immersion cooling systems are disclosed herein. An example apparatus disclosed herein includes a tank to hold a coolant, an overflow chamber to direct the coolant toward an outlet, and a plate within the overflow chamber, the plate including a plurality of openings, the coolant to pass through at least one of the plurality of openings before reaching the outlet.

Abstract: Various embodiments of the present disclosure are directed towards an integrated chip including a gate dielectric structure over a substrate. A metal layer overlies the gate dielectric structure. A conductive layer overlies the metal layer. A polysilicon layer contacts opposing sides of the conductive layer. A bottom surface of the polysilicon layer is aligned with a bottom surface of the conductive layer. A dielectric layer overlies the polysilicon layer. The dielectric layer continuously extends from sidewalls of the polysilicon layer to an upper surface of the conductive layer.

Abstract: Various embodiments of the present disclosure are directed towards an integrated chip including a gate dielectric structure over a substrate. A metal layer overlies the gate dielectric structure. A conductive layer overlies the metal layer. A polysilicon layer contacts opposing sides of the conductive layer. A bottom surface of the polysilicon layer is aligned with a bottom surface of the conductive layer. A dielectric layer overlies the polysilicon layer. The dielectric layer continuously extends from sidewalls of the polysilicon layer to an upper surface of the conductive layer.