Abstract: The present invention provides compounds having store overload-induced Ca2+ release (SOICR) inhibitory activity and methods for producing and using the same. In particular, compounds of the invention is of the formula: R1—X1-L-X2—R2, wherein R1, X1, L, X2, and R2 are those defined herein.

Abstract: Methods, systems, and devices for configuring channel state information (CSI) reference signals (RS) in mobile communication technology are described. An example method for wireless communication includes transmitting, by a network node to a wireless device, a configuration of at least one CSI-RS and a configuration of a CSI report, transmitting, based on the configuration over one or more CSI-RS resources, the at least one CSI-RS, and receiving, from the wireless device, the CSI report based on the configuration of the CSI report. The configuration of the CSI report may comprise one or more of the following: a number of CSI-RS ports related to a specific number of frequency basis vectors, or an index of a frequency basis vector corresponding to the specific number.

Abstract: Example implementations relate to connecting an IoT device to a wireless network using Device Provisioning Protocol (DPP). An authentication server receives a DPP network access authorization request including a connector identifier from an Access Point (AP) in communication with the IoT device. The connector identifier is a hash of the public network access key of the IoT device. If the connector identifier is valid, the authentication server determines a configurable policy from a set of configurable policies that is applicable to the IoT device. The authentication server transmits network permissions defined in the configurable policy to the AP. The IoT device is connected to the wireless network by the AP based on the network permissions.

Abstract: A biomimetic tower climbing robot and a tower climbing method thereof are provided. The robot mainly includes a main control body module and clamping and moving mechanism modules; two ends of the main control body module are connected to one clamping and moving mechanism module through an elastic universal joint respectively, two clamping and moving mechanism modules can alternately lock and unlock an anti-fall track of an iron tower, and the main control body module alternately pushes the clamping and moving mechanism module at its upper end upwards and pulls the clamping and moving mechanism module at its lower end upwards to achieve climbing of the robot along the anti-fall track.

Abstract: A computing device trains a fair prediction model while defining an optimal event cutoff value. (A) A prediction model is trained with observation vectors. (B) The prediction model is executed to define a predicted target variable value and a probability associated with an accuracy of the predicted target variable value. (C) A conditional moments matrix is computed based on fairness constraints, the predicted target variable value, and the sensitive attribute variable value of each observation vector. The predicted target variable value has a predefined target event value only when the probability is greater than a predefined event cutoff value. (D) (A) through (C) are repeated. (E) An updated value is computed for the predefined event cutoff value. (F) (A) through (E) are repeated. An optimal event cutoff value is defined from the predefined event cutoff values used when repeating (A) through (E). The optimal value and prediction model are output.

Abstract: A photosensitive device is disclosed, including an integrated circuit structure, a first pad and a second pad exposed from a surface of the integrated circuit structure, a first material layer disposed on the surface of the integrated circuit structure and covering the first pad, and a second material layer disposed on the first material layer and covering the second pad. The first material layer and the second material layer form a heterojunction photodiode.

Abstract: The subject disclosure relates to techniques for increasing a quality of predicted trajectories output from a trained prediction algorithm. A process of the disclosed technology can include receiving by a trained prediction algorithm, information about objects in an environment as perceived by sensors of an autonomous vehicle, receiving by the trained prediction algorithm, information about a location of the autonomous vehicle in the environment, generating by the trained prediction algorithm, a predicted trajectory for an object among the objects in the environment, wherein the predicted trajectory being anchored by a path through a tree of paths including at least two modes, wherein each mode creates a node in the tree, wherein a mode is a semantic classification of a portion of the predicted trajectory, and outputting by the trained prediction algorithm, the predicted trajectory for the object.

Abstract: A data processing method, which relates to the technical field of cloud applications. The method, performed by a target edge node, includes: receiving, based on a cloud application client switching from a first type of network to a second type of network, a first connection request forwarded by a stream proxy in a transit edge node associated with the second type of network, and establishing a first communication connection between the cloud application client and the target edge node associated with the first type of network based on the first connection request, and transmitting, based on the first communication connection, application data in the cloud application between the cloud application client and the target edge node through the stream proxy.

Abstract: The present invention discloses a gas based testing method for a pore volume compressibility of a low-permeability rock. The method comprises the following steps: obtaining a compressibility and an isothermal adsorption-desorption curve of experimental gas under a reservoir condition; performing a physical simulation experiment by using a steel core drilled with a through hole, and obtaining a gas volume collected due to the deformation of an experimental instrument; then repeating the experiment by using an actual core with the same size, and obtaining pore volumes of the reservoir core under the experimental conditions by deducting deformation of the instrument; and finally, obtaining a pore compressibility of the reservoir core under different reservoir conditions according to the pore volumes of the reservoir core under different reservoir conditions. The present invention considers gas adsorption, corrects errors caused by deformation of a physical simulation device.

Abstract: A fractal computing device according to an embodiment of the present application may be included in an integrated circuit device. The integrated circuit device includes a universal interconnect interface and other processing devices. The calculating device interacts with other processing devices to jointly complete a user specified calculation operation. The integrated circuit device may also include a storage device. The storage device is respectively connected with the calculating device and other processing devices and is used for data storage of the computing device and other processing devices.

Abstract: A magnetic preloading air bearing comprises an air floating substrate, a plurality of preloading assemblies are disposed around the air floating substrate, an annular air floating structure extends and protrudes at one side of the air floating substrate, a shunt assembly is disposed inside the air floating substrate, a lateral of the shunt assembly is disposed corresponding to an inner side of the air floating structure, an air inlet channel penetrates and extends at the other side of the air floating substrate, and the air inlet channel is disposed corresponding to the shunt assembly; and the preloading assembly is connected to the air floating substrate through a fixing rod. The present disclosure aims to provide the magnetic preloading air bearing that has high stability and high precision and is not prone to an air hammer phenomenon, and the linear platform having the bearing.

Abstract: The disclosed computer-implemented method may include accessing various portions of contextual information based on at least one touch input from a touch-based sensor on a mobile electronic device. The method may next include determining, based on the contextual information, which of different operational antenna parameters associated with at least one antenna of the mobile electronic device are to be changed. The method may then include changing the specified operational parameters associated with the antenna on the mobile electronic device according to the determination. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The present application discloses an optical signal processing circuit for a Lidar. The optical signal processing circuit includes an optical processing circuit, a gain control circuit connected to the optical processing circuit, and a controller connected to the gain control circuit. The optical processing circuit includes an optical sensor and an amplification circuit. The optical sensor is configured to convert an optical signal to a photocurrent signal, and the amplification circuit is configured to convert and amplify the photocurrent signal to a voltage signal. The controller adjusts a gain of the optical processing circuit via the gain control circuit and based on an amplitude of the voltage signal.

Abstract: A computing system including a processor configured to train a synthetic aperture radar (SAR) classifier neural network. The SAR classifier neural network is trained at least in part by, at a SAR encoder, receiving training SAR range profiles that are tagged with respective first training labels, and, at an image encoder, receiving training two-dimensional images that are tagged with respective second training labels. Training the SAR classifier neural network further includes, at a shared encoder, computing shared latent representations based on the SAR encoder outputs and the image encoder outputs, and, at a classifier, computing respective classification labels based on the shared latent representations. Training the SAR classifier neural network further includes computing a value of a loss function based on the plurality of first training labels, the plurality of second training labels, and the plurality of classification labels and performing backpropagation based on the value of the loss function.

Abstract: A machine and its associated process for upset forging the ends of deformed reinforcement bars are disclosed. The machine includes 2 split clamping dies and an upsetting die, and they are housed in separate casings so that the clamping action is independent from the upsetting die. The clamping dies and the upsetting die form a continuous cavity for accommodating the forging of long bars. The upsetting die has a upsetting cavity with radial closed cross-section, and the whole forging process is performed inside this closed cavity to ensure it's a true closed-die forging process, which results in precise upset diameter with improved roundness of the rebar.

Abstract: Methods of forming optical devices using nanoimprint lithography and etch processes are provided. In one embodiment, a method is provided that includes depositing a first resist layer on a substrate, the substrate having a hardmask disposed thereon, imprinting a first resist portion of the first resist layer with a first single-height stamp, etching the first resist portion of the first resist layer, etching a first hardmask portion of the hardmask corresponding to the first resist portion of the first resist layer, removing the first resist layer and depositing a second resist layer, imprinting a second resist portion of the second resist layer with a second single-height stamp, etching the second resist portion of the second resist layer, and etching a second hardmask portion of the hardmask corresponding to the second resist portion of the second resist layer.

Abstract: The present disclosure provides a fracturing fluid mixing equipment including a clear water supply system, at least two mixing systems, at least one powder tank, at least two powder conveying systems, a mixing tank, a feeding system and a power system. The clear water supply system has two parallel water supply paths which are connected to the mixing system and the mixing tank respectively. The powder conveying system is connected to the powder tank. There are same number of powder conveying systems and mixing systems which are connected in one-to-one correspondence. The mixing system is connected into the mixing tank. The feeding system adds powder by pneumatic conveying. The power system provides driving force by pure electric power and/or electro-hydraulic power. According to present disclosure, the power system can reduce fuel consumption and exhaust emissions.