Abstract: The present disclosure provides a direct current (DC) transformer error detection apparatus for a pulsating harmonic signal, including a DC and pulsating harmonic current output module and an external detected input module, where the DC and pulsating harmonic current output module outputs a DC and a DC superimposed pulsating harmonic current to an internal sampling circuit and a self-calibrated standard resistor array; and the internal sampling circuit converts the input DC and the input DC superimposed pulsating harmonic current into a voltage signal, and sends the voltage signal to an analog-to-digital (AD) sampling and measurement component through a front-end conditioning circuit and a detected input channel. The DC transformer error detection apparatus can complete self-calibration for measurement of the DC and the pulsating harmonic signal on a test site.

Abstract: Embodiments described herein provide methods and systems for effectively and efficiently summarizing long documents. A transformer is provided with bottom-up and top-down inference combined to effectively capture long-range dependency. In the bottom-up inference, each token only attends to nearby tokens within a window of a specified size. In the top-down inference, full self-attention is given using units with coarser granularity. The bottom-up-inferred token representations are then updated with the top-down representations, which is achieved with cross-attention between the top and token levels. Multiple levels of top-down representations with increasingly coarser granularity can be used if documents are extremely long.

Abstract: The present disclosure is directed to an automated neural architecture search approach for designing new neural network architectures such as, for example, resource-constrained mobile CNN models. In particular, the present disclosure provides systems and methods to perform neural architecture search using a novel factorized hierarchical search space that permits layer diversity throughout the network, thereby striking the right balance between flexibility and search space size. The resulting neural architectures are able to be run relatively faster and using relatively fewer computing resources (e.g., less processing power, less memory usage, less power consumption, etc.), all while remaining competitive with or even exceeding the performance (e.g., accuracy) of current state-of-the-art mobile-optimized models.

Abstract: Methods and apparatus related to identifying one or more messages sent by a user, identifying two or more contacts that are associated with one or more of the messages, determining a strength of relationship score between identified contacts, and utilizing the strength of relationship scores to provide additional information related to the contacts. A strength of relationship score between a contact and one or more other contacts may be determined based on one or more properties of one or more of the messages. In some implementations, contacts groups may be determined based on the strength of relationship scores. In some implementations, contacts groups may be utilized to disambiguate references to contacts in messages. In some implementations, contacts group may be utilized to provide suggestions to the user of additional contacts of a contacts group that includes the indicated recipient contact of a message.

Abstract: Embodiments described herein provide a prompt-based transfer learning method that employs shared latent space prompt tuning). Specifically, a shared latent space is assumed, among all source and target tasks, where each vector in the space captures a basis skill to do a particular task. Given an instance (from either a source task or a target task), it is first encoded into an instance representation vector and then queries the latent space, which yields a skill vector for this instance. This vector modulates a frozen model, via soft prompts which are a simple prompt transformation (the prompt generator in FIG. 3) of the basis skill vector, to generate an answer for the instance. The latent space and prompt transformation are learned end-to-end in upstream pre-training on source tasks.

Abstract: Disclosed are an online analysis system and method for a line loss of a transmission line. The system includes: a terminal extension and a terminal host, where time information synchronization between the terminal extension and the terminal host and between terminal extensions is performed by a clock synchronization module, and communication between the terminal extension and the terminal host and between the terminal extensions is performed by a communications module; and a line loss management platform, configured to receive measurement data of the terminal extension and the terminal host, match time information in the measurement data, and if time information in the measurement data of the terminal extension and the terminal host is matched, and time information in measurement data of the terminal extensions is matched, determine corresponding line loss information based on corresponding measurement information.

Abstract: Techniques for performing natural language processing (NLP) on semi-structured data are described. An exemplary method includes receiving a semi-structured document to perform NLP on using a trained NLP model; converting the semi-structured document into a secondary format, wherein the secondary format includes spatial information for tokens of the semi-structured document; flattening the converted, secondary formatted semi-structured document into a Unicode Transformation Format text file; performing NLP on the Unicode Transformation Format text file using the trained NLP model; and providing a result of the NLP to a requester.

Abstract: A concrete curing agent, a curing coating layer and a preparation method thereof, the concrete curing agent comprises a hardening agent and a hydrophobic agent, the raw materials of the hardening agent comprises the following raw materials in parts by weight: 0.1-10 parts of fluorosilicate salt and 100 parts of water, and the hydrophobic agent comprises the following raw materials in parts by weight: 0.1-10 parts of a base catalyst, 1-10 parts of a silane coupling agent, 0.1-10 parts of hydrogen-containing silicone oil, 5-10 parts of a cross-linking agent, 10-100 parts of silica sol and 100-1000 parts of water. The present invention can significantly improve the strength, hardness and hydrophobicity, impermeability and freeze-thaw resistance of surface of concrete before and after hardening, and effectively improves the service life of concrete structures.

Abstract: Embodiments described herein provide a program synthesis framework that generates code programs through a multi-turn conversation between a user and a system. Specifically, the description to solve a target problem is factorized into multiple steps, each of which includes a description in natural language (prompt) to be input into the generation model as a user utterance. The model in turn synthesizes functionally correct subprograms following the current user utterance and considering descriptions and synthesized subprograms at previous steps. The subprograms generated at the multiple steps are then combined to form an output of program in response to the target problem.

Abstract: A preparation method of a polytetrafluoroethylene (PTFE)-based membrane for preventing and removing ices covering wind turbine blades is provided and the method comprises: preparing a membrane into a PTFE rod material with polymerized monomers by using monomer polymerization methods such as blending, pre-compressing and pushing; making the membrane into a PTFE-based homogeneous membrane with micropores and nano and micron scale concave-convex geometrical ultra-structure morphologies under the condition that the membrane is cracked to generate a laminar exfoliated fabric-like structure in the hot calendaring process of the PTFE rod material by using a hot calendaring and fusion polymerization method; and applying the PTFE-based homogeneous membrane to blades of a large wind turbine in operation.

Abstract: A concrete curing agent, a curing coating layer and a preparation method thereof, the concrete curing agent comprises a hardening agent and a hydrophobic agent, the raw materials of the hardening agent comprises the following raw materials in parts by weight: 0.1-10 parts of fluorosilicate salt and 100 parts of water, and the hydrophobic agent comprises the following raw materials in parts by weight: 0.1-10 parts of a base catalyst, 1-10 parts of a silane coupling agent, 0.1-10 parts of hydrogen-containing silicone oil, 5-10 parts of a cross-linking agent, 10-100 parts of silica sol and 100-1000 parts of water. The present invention can significantly improve the strength, hardness and hydrophobicity, impermeability and freeze-thaw resistance of surface of concrete before and after hardening, and effectively improves the service life of concrete structures.

Abstract: Disclosed herein are pharmaceutical compositions comprising biosynthetic allosteric mTOR inhibitors that can have improved pharmacology and reduced toxicity. Also disclosed herein are methods of treating a condition or disease by administering biosynthetic allosteric mTOR inhibitors.

Abstract: Embodiments described herein provide methods and systems for effectively and efficiently summarizing long documents. A transformer is provided with bottom-up and top-down inference combined to effectively capture long-range dependency. In the bottom-up inference, each token only attends to nearby tokens within a window of a specified size. In the top-down inference, full self-attention is given using units with coarser granularity. The bottom-up-inferred token representations are then updated with the top-down representations, which is achieved with cross-attention between the top and token levels. Multiple levels of top-down representations with increasingly coarser granularity can be used if documents are extremely long.

Abstract: A collaborative aggregation trading method for consuming clean energy includes: acquiring related data of clean energy power generation companies, the demand-side resources and energy storage service providers; acquiring a trading quotation and acquiring self-regulating ability data and regulating fees of shared energy storage service providers; performing trading of collaboratively consuming the clean energy through the demand-side resources and the shared energy storage: when the power generation output value exceeds the maximum regulating ability of user demands and the demand-side resources, storing the redundant power into shared energy storage systems for standby application; when the power generation output value is lower than the minimum operation load level of the user demands and the demand-side resources, calling the shared energy storage service providers participating in the trading according to energy storage ranking indexes, to acquire required power from the shared energy storage systems; and

Abstract: Methods and apparatus related to identifying one or more messages sent by a user, identifying two or more contacts that are associated with one or more of the messages, determining a strength of relationship score between identified contacts, and utilizing the strength of relationship scores to provide additional information related to the contacts. A strength of relationship score between a contact and one or more other contacts may be determined based on one or more properties of one or more of the messages. In some implementations, contacts groups may be determined based on the strength of relationship scores. In some implementations, contacts groups may be utilized to disambiguate references to contacts in messages. In some implementations, contacts group may be utilized to provide suggestions to the user of additional contacts of a contacts group that includes the indicated recipient contact of a message.

Abstract: The present invention provides a preparation method of a gallium nitride single crystal based on a ScAlMgO4 substrate, comprising following steps: (1) providing a ScAlMgO4 substrate; (2) growing a buffer layer on a surface of the ScAlMgO4 substrate; (3) annealing the buffer layer; (4) growing a GaN crystal on the buffer layer; (5) performing cooling, so that the GaN crystal is automatically peeled off from the ScAlMgO4 substrate. The present invention does not need to use a complex MOCVD process for GaN deposition and preprocessing to make a mask or a separation layer, which effectively reduces production costs; compared with traditional substrates such as sapphire, it has higher quality and a larger radius of curvature, and will not cause a problem of OFFCUT non-uniformity for growing GaN over 4 inches; finally, the present invention can realize continuous growth into a crystal bar with a thickness of more than 5 mm, which further reduces the costs.

Abstract: Disclosed are an online analysis system and method for a line loss of a transmission line. The system includes: a terminal extension and a terminal host, where time information synchronization between the terminal extension and the terminal host and between terminal extensions is performed by a clock synchronization module, and communication between the terminal extension and the terminal host and between the terminal extensions is performed by a communications module; and a line loss management platform, configured to receive measurement data of the terminal extension and the terminal host, match time information in the measurement data, and if time information in the measurement data of the terminal extension and the terminal host is matched, and time information in measurement data of the terminal extensions is matched, determine corresponding line loss information based on corresponding measurement information.

Abstract: Methods and apparatus related to identifying one or more messages sent by a user, identifying two or more contacts that are associated with one or more of the messages, determining a strength of relationship score between identified contacts, and utilizing the strength of relationship scores to provide additional information related to the contacts. A strength of relationship score between a contact and one or more other contacts may be determined based on one or more properties of one or more of the messages. In some implementations, contacts groups may be determined based on the strength of relationship scores. In some implementations, contacts groups may be utilized to disambiguate references to contacts in messages. In some implementations, contacts group may be utilized to provide suggestions to the user of additional contacts of a contacts group that includes the indicated recipient contact of a message.

Abstract: Techniques for a service provider network to allow users to quickly and easily establish a testing environment to test various virtual machine (VM) instance types for hosting their workloads. Rather than identifying and recommending optimized VM instance types for hosting workloads of users, the techniques allow for users to initially test the VM instance types and determine how well their workloads perform on the VM instance types. Users can quickly and easily (e.g., “one-click” input) request that a testing environment be established. The optimization service can then test one or more recommended VM instance types for the users' workloads in the testing environment. The optimization service can monitor the performance of the VM instance types while they host the “test workloads,” and provide the users with performance metrics to help them decide if they would like to migrate their workloads to the recommended VM instance types.

Abstract: Provided is a fast light-curing 3D printer cartridge and a 3D printer. The fast light-curing 3D printer cartridge includes a resin tank sidewall and a curing inhibitor delivery layer. A bottom of the resin tank sidewall is connected to an upper surface of the curing inhibitor delivery layer to enclose a resin tank. The fast light-curing 3D printer cartridge has a curing inhibitor supply part configured to provide a curing inhibitor for the curing inhibitor delivery layer. The curing inhibitor supply part is arranged to keep providing the curing inhibitor for the curing inhibitor delivery layer well and continuously, the curing inhibitor enters a resin in the resin tank, the resin in the resin tank is partially mixed with oxygen to form an oxygen inhibition phenomenon, and solid-liquid separation is implemented between the cured resin and the uncured resin.