Abstract: The embodiments of the invention provide an intelligent prediction method and apparatus for reservoir sensitivity, belonging to the technical field of reservoir sensitivity prediction. The method includes: acquiring a reservoir sensitivity influence factor item related to a reservoir sensitivity result to be predicted and numerical values of corresponding reservoir sensitivity influence factors; determining a corresponding type of database according to the reservoir sensitivity influence factor item; determining whether numerical values of reservoir sensitivity influence factors corresponding to core parameters in the numerical values of the reservoir sensitivity influence factors include a first upper boundary value or a first lower boundary value; and using, according to whether the first upper boundary value or the first lower boundary value is included, different intelligent sensitivity prediction models to calculate the reservoir sensitivity result to be predicted.

Abstract: Systems and methods are disclosed for resource allocation for multi-actuator systems. In some examples, a data storage device can include two or more independently moveable voice coil motor (VCM) actuators where the resources of the system to operate the VCM actuators are divided. The disclosure here describes methods to allocate or re-allocate the divided resources, such as unused resources, to a VCM actuator that has a need for more resources. The methods and systems herein can also be applied to other actuator systems.

Abstract: A method includes receiving at a storage device a command from a host. When learning is active on the storage device, an initial parameter value of a plurality of parameter values is used for performing a first action of a plurality of actions for the command. The first action is performed using the initial parameter value of the plurality of parameter values for the command The first parameter value is incremented to a next parameter value of the plurality of parameter values for the command for use in reperforming the first action.

Abstract: Systems and methods for adaptive filtering of malware using a machine-learning model and sandboxing are provided. According to one embodiment, a processing resource of a sandbox appliance receives a file. A feature vector associated with the file is generated by extracting multiple static features from the file. The file is classified based on the feature vector by applying a machine-learning model. When the classification of the file is unknown, representing insufficient information is available to identify the file as malicious or benign, sandbox processing is caused to be performed on the file.

Abstract: The present invention provides thermosetting resin pre-impregnated or infused fiber materials or prepregs comprising a thermosetting resin mixture and a fiber material component of a heat resistant fiber, such as carbon fiber, having an areal weight of from 500 to 3,000 g/m2 having a coating of from 0.5 to 4 phr of a latent, particulate curative or solid curative, preferably, dicyandiamide, wherein the prepregs are infused with a thermosetting resin mixture comprising (a) at least one liquid epoxy resin, and (b) a hardener and/or a catalyst, as well as methods of making the same. The prepregs of present invention enables the simple provision of lightweight composites having consistent resin cure throughout.

Abstract: A fingerprint module and the preparation method thereof, and an electronic device and the preparation method thereof, which are beneficial to improving the performance of fingerprint identification. The fingerprint module includes a fingerprint sensor, wherein a first direction of the fingerprint module has a first angle with a first direction of the fingerprint sensor, the first direction of the fingerprint module is a direction parallel to a particular edge of the fingerprint module, and the first direction of the fingerprint sensor is a direction parallel to a particular edge of the fingerprint sensor.

Abstract: The present invention discloses a method for detecting compaction and shear strength characteristics of an asphalt mixture during construction compaction. The method mainly includes the following steps: using a device for detecting compaction and shear strength characteristics of the asphalt mixture; pressing a test claw into the asphalt mixture during construction; rotating the test claw slowly and uniformly to measure an internal temperature and a shear characteristic of the mixture during paving and subsequent compaction; calculating a corresponding compaction detection index based on the shear characteristic; and monitoring and guiding the construction quality and construction process accordingly based on the real-time detection index. The present invention measures the compaction detection index of the asphalt mixture during compaction simply, quickly and accurately.

Abstract: A fuel injector includes a forward end wall and an aft end wall. The fuel injector further includes side walls that extend between the forward end wall and the aft end wall. The forward end wall, the aft end wall, and the side walls collectively define an opening for passage of air. At least one fuel injection member is disposed within the opening and extends between the end walls. A fuel circuit is defined within the fuel injector. The fuel circuit includes an inlet plenum defined within the forward end wall of the fuel injector. The fuel circuit further includes a fuel passage that extends from, and is in fluid communication with, the inlet plenum. The fuel passage is defined within the at least one fuel injection member. The fuel passage has a cross-sectional area that varies along a length of the fuel injection member.

Abstract: The embodiments of the invention provide an intelligent prediction method and apparatus for reservoir sensitivity, belonging to the technical field of reservoir sensitivity prediction. The method includes: acquiring a reservoir sensitivity influence factor item related to a reservoir sensitivity result to be predicted and numerical values of corresponding reservoir sensitivity influence factors; determining a corresponding type of database according to the reservoir sensitivity influence factor item; determining whether numerical values of reservoir sensitivity influence factors corresponding to core parameters in the numerical values of the reservoir sensitivity influence factors include a first upper boundary value or a first lower boundary value; and using, according to whether the first upper boundary value or the first lower boundary value is included, different intelligent sensitivity prediction models to calculate the reservoir sensitivity result to be predicted.

Abstract: The invention relates to the field of drilling fluid, in particular to a saturated salt water drilling fluid of salt response type intelligent polymer and preparation method thereof. The drilling fluid contains two or more of the following components stored in admixture or separately: bentonite, NaOH, KCl, calcium carbonate, barite, NaCl, supramolecular fluid loss additive, supramolecular shear-enhancing agent, plugging agent, coating agent and water. The drilling fluid provided by the invention has the characteristics of salt response and self-assembly, can keep rheological properties such as rapid recovery of the sheared structure, low extreme high shear rate viscosity, good shear dilution property and the like in a high-salt environment, has good fluid loss reduction performance, reservoir protection performance and debris dispersion inhibition performance, and has good temperature resistance and pollution resistance performance.

Abstract: The present invention relates to the technical field of oil and gas drilling, and discloses a biodiesel-based constant rheological property drilling fluid containing intelligent temperature responsive polymer, which contains two or more of the following components which are stored in admixture or separately: base oil biodiesel, aqueous phase, emulsifier, organic soil, constant rheological property flow pattern modifier, hydrolysis inhibitor, filtrate reducer and weighting material; the constant rheological property flow pattern modifier is an intelligent temperature responsive polymer, and the polymer contains structural units provided by bis-hydroxyethyl bis-hydroxypropyl stearyl ammonium chloride, ethylene bis-stearamide and dimerized fatty acid.

Abstract: The present invention provides thermosetting resin pre-impregnated or infused fiber materials or prepregs comprising a thermosetting resin mixture and a fiber material component of a heat resistant fiber, such as carbon fiber, having an areal weight of from 500 to 3,000 g/m2 having a coating of from 0.5 to 4 phr of a latent, particulate curative or solid curative, preferably, dicyandiamide, wherein the prepregs are infused with a thermosetting resin mixture comprising (a) at least one liquid epoxy resin, and (b) a hardener and/or a catalyst, as well as methods of making the same. The prepregs of present invention enables the simple provision of lightweight composites having consistent resin cure throughout.

Abstract: The present invention relates to an external dressing as well as a preparation method and application thereof. The external dressing includes: A. a solvent, which is a mixture including normal saline and an HP value regulator, B. a natural polymer as a thickener; and C. urokinase, the content of which is 0.05-50,000 U/ml. Experiments in mice prove that the present invention has obvious curative effect on wound rehabilitation, and has the advantages of easy realization and operation, fewer side effects and benefit for popularization and application.

Abstract: Provided are an under-screen biometric identification apparatus, a biometric identification component and a terminal device. The under-screen biometric identification apparatus includes: a display screen and a biometric identification module, where the biometric identification module is fixedly disposed under the display screen, and there is a gap between the biometric identification module and the display screen. In an embodiment of the present application, the biometric identification module and a lower surface of the display screen are designed to be separated, which can reduce difficulty of disassembling the biometric identification module, thereby improving maintainability of the terminal device. Further, complexity of manufacturing the biometric identification module under the display screen can be reduced and a production success rate can be enhanced, and thus production cost is reduced.

Abstract: An integrated circuit includes a Laterally Diffused MOSFET (LD-MOSFET) located over a semiconductor substrate. The LD-MOSFET transistor includes a dielectric filled trench at a surface of the semiconductor substrate, and a doped region of the semiconductor substrate adjacent the dielectric-filled trench. The doped region and the dielectric-filled trench share an interface that has a terminus at the surface of the semiconductor substrate. An oxide layer is located over the semiconductor substrate, including along a surface of the doped region and along a surface of the dielectric-filled trench. The oxide layer has a first thickness over the dielectric-filled trench and a second greater thickness over the doped region.

Abstract: A multipurpose compostable absorption mat serves to receive and encapsulate organic matter for compostable disintegration of the mat and organic matter simultaneously. The mat comprises at least three portions: a first portion facing the organic matter defined by a parchment paper or parchment-like material having multiple pinholes or other openings or porosity sized and dimensioned to enable passage of greases and/or liquids; a second portion outboard of the first portion defined by a deliquescent material, and is able to absorb the greases and/or liquids from the first portion through a capillary mechanism; and a third portion outboard of the second portion defined by an impermeable plant/corn starch-based plastic-like material. The third portion looks and feels like plastic film.

Abstract: A semiconductor device contains a Zener-triggered transistor having a Zener diode vertically integrated in a first current node of the Zener-triggered transistor. The first current node includes an n-type semiconductor material contacting a p-type semiconductor material in a substrate. The Zener diode includes an n-type cathode contacting the first current node, and a p-type anode contacting the n-type cathode and contacting the p-type semiconductor material. The semiconductor device may be formed using an implant mask, with an opening for the Zener diode. Boron and arsenic are implanted into the substrate in an area exposed by the opening in the implant mask. The substrate is subsequently heated to diffuse and activate the implanted boron and arsenic. The Zener-triggered transistor may be used in an ESD circuit or a snubber circuit.

Abstract: The present invention discloses a method for detecting compaction and shear strength characteristics of an asphalt mixture during construction compaction. The method mainly includes the following steps: using a device for detecting compaction and shear strength characteristics of the asphalt mixture; pressing a test claw into the asphalt mixture during construction; rotating the test claw slowly and uniformly to measure an internal temperature and a shear characteristic of the mixture during paving and subsequent compaction; calculating a corresponding compaction detection index based on the shear characteristic; and monitoring and guiding the construction quality and construction process accordingly based on the real-time detection index. The present invention measures the compaction detection index of the asphalt mixture during compaction simply, quickly and accurately.

Abstract: A device is for detecting compaction and shear strength characteristics of an asphalt mixture during construction compaction. The device includes a fixed frame and a detection system. The detection system includes a display, a control panel, a test claw, an electric motor, a lift switch, a torque sensor and a temperature sensor. The control panel includes a power switch for controlling the electric motor and a speed regulator for controlling a rotation speed of the test claw. An output end of the electric motor is connected to an input end of the torque sensor, and an output end of the torque sensor is connected to an input end of the test claw. An output end of the test claw is provided with a claw-shaped blade. The claw-shaped blade is provided therein with the temperature sensor.

Abstract: Disclosed examples include LDMOS transistors and integrated circuits with a gate, a body region implanted in the substrate to provide a channel region under a portion of the gate, a source adjacent the channel region, a drain laterally spaced from a first side of the gate, a drift region including a first highly doped drift region portion, a low doped gap drift region above the first highly doped drift region portion, and a second highly doped region portion above the gap drift region, and an isolation structure extending through the second highly doped region portion into the gap drift region portion, with a first end proximate the drain region and a second end under the gate dielectric layer, where the body region includes a tapered side laterally spaced from the second end of the isolation structure to define a trapezoidal JFET region.