Abstract: In a method for improving converter and compiler operator granularity, a processor extracts an operator granularity from an artificial intelligence framework and an original model. A processor receives device characteristics from a target device. A processor outputs a converter granularity level to a converter based on the operator granularity and the device characteristics. A processor outputs a compiler granularity level to a compiler based on the operator granularity and the device characteristics.

Abstract: The invention relates generally to recombinant sialidase and anti-CD20 immunoglobulin antigen-binding domain fusion proteins. The invention also provides antibody conjugates including a sialidase and an anti-CD20 antibody or a portion thereof. The invention further relates to methods of using the sialidase fusion proteins or antibody conjugates for treating cancer.

Abstract: The invention relates generally to recombinant sialidase and anti-PD-L1 immunoglobulin antigen-binding domain fusion proteins. The invention also provides antibody conjugates including a sialidase and an anti-PD-L1 antibody or a portion thereof. The invention further relates to methods of using the sialidase fusion proteins or antibody conjugates for treating cancer.

Abstract: The present disclosure provides a terahertz biological detection method and a device comprising the same, in which biological samples with different molecular formulas have their characteristic peaks in the terahertz band. In the process of sweeping frequency with terahertz, when the terahertz frequency point corresponds to the characteristic peak frequency of the substance to be detected, resonant absorption occurs, and the transmitted/reflected terahertz wave electric field intensity will suddenly decrease. In the electromagnetically induced transparency spectrum corresponding to the Rydberg quantum state, the signal splitting amplitude is significantly reduced. Therefore, the characteristic peak frequency and specific content of the substance to be detected can be accurately determined by comparing the dependence of the Rydberg quantum state with the additional terahertz electric field intensity on the excitation energy level.

Abstract: The invention relates generally to recombinant sialidases, methods and compositions for extending the serum half-life of the recombinant sialidases, and use of the same in the treatment of a sialic acid-related disorder.

Abstract: The invention relates generally to recombinant human sialidases and recombinant sialidase fusion proteins, wherein the sialidase optionally contains one or more mutations compared to wild-type human sialidase, e.g., a substitution, deletion, or addition of at least one amino acid. The invention also provides antibody conjugates including a sialidase and an antibody or a portion thereof. The invention further relates to methods of using the sialidase fusion proteins or antibody conjugates for treating cancer.

Abstract: Disclosed are a synchronization method and a terminal apparatus resolving the issue of how to support synchronization of resources having different SCSs. The synchronization method includes: a terminal apparatus determining a type of synchronization sources, the synchronization sources including one or more combinations of: a base station in a Long Term Evolution (LTE) network, a base station in the Fifth Generation Mobile Communication Technology (5G) network, a Global Navigation Satellite System (GNSS) and a communication node; the terminal apparatus determining, from one or more synchronization sources matching the type, a synchronization source of the terminal apparatus; and the terminal apparatus synchronizing with the determined synchronization source.

Abstract: The invention belongs to the technical field of genetic engineering, and particularly to a type I-F CRISPR-Cas system based on Zymomonas mobilis (Z. mobilis) including: four CRISPR structural sequences and one cas gene cluster, wherein the cas gene cluster comprises casi gene, cas3 gene, csyl gene, csy2 gene, csy3 gene and csy4 gene, wherein the cast-3 gene is a fusion form fused by a cast gene and a cas3 gene. The purpose of the present invention is to use Z. mobilis as a model bacterium, using a CRISPR-Cas system encoded by the genome of the Z. mobilis and exogenous CRISPR-Cas12a system to build a genome editing platform so as to provide a set of powerful tools for carrying out basic and applied research in this bacterium and similar cells, and promoting the development of metabolic engineering, systems biology and synthetic biology.

Abstract: A method includes moving a wafer stage to a first station on a table body of a lithography chamber; placing a wafer on a top surface of the wafer stage; emitting a first laser beam from a first laser emitter toward a first beam splitter on a first sidewall of the wafer stage, wherein a first portion of the first laser beam is reflected by the first beam splitter to form a first reflected laser beam, and a second portion of the first laser beam transmits through the first beam splitter to form a first transmitted laser beam; calculating a position of the wafer stage on a first axis based on the first reflected laser beam; after calculating the position of the wafer, moving the wafer stage to a second station on the table body; and performing a lithography process to the wafer.

Abstract: The present disclosure discloses a method for identifying a M1 generation plant mutant resulting from physical and chemical mutagenesis, a method for acquiring the plant mutant, a mutant gene, and use thereof. The method for identifying a M1 generation plant mutant resulting from physical and chemical mutagenesis includes: mutagenizing a plant to obtain an M1 generation plant mutant, extracting a mixed pool of DNA from the obtained M1 generation plant mutant, subjecting the mixed pool of DNA to high-depth targeted sequencing for a target gene region, and aligning a sequencing result with the target gene region to identify whether there are target single nucleotide polymorphisms (SNPs) and/or Indel. The method of the present disclosure has high efficiency and high accuracy, involves simple operations, and is of progressive significance for the identification and acquisition of innovative germplasms.

Abstract: A touch panel having dummy pattern is provided, including a first metal nanowire layer and a second metal nanowire layer. The first metal nanowire layer includes first electrode wires, first axial wires connected to the first electrode wires, and first dummy patterns. The second metal nanowire layer includes a plurality of second electrode wires and a plurality of second axial wires connected to the second electrode wires. The first dummy patterns are electrically insulated and deposited outside the first electrode wires and the first axial wires, and each of the first dummy patterns comprises a plurality of first etching areas extending along the first and second directions. The first dummy patterns do not expose the first etching areas along the first direction at a vertical projection area of a part where each of the second axial wires alone exists, so that the electrode pattern is difficult to observe.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: receiving an incoming query statement, wherein the incoming query statement comprises a query statement expression that includes an input variable; predicting an input variable value associated to the input variable; selecting an access path for runtime execution of the query statement in dependence on the predicted input variable value; and performing runtime execution of the query statement using the selected access path.

Abstract: Embodiments of a mobile carrier monitoring apparatus are disclosed. The apparatus includes one or more mobile carriers configured to receive items being manufactured in its interior and configured be moved by a transport system to multiple positions within a manufacturing facility. A mobile carrier control system is positioned in the interior or on the exterior of each mobile carrier, as are one or more sensors that are coupled to the mobile carrier control system. A communication system is positioned in the interior or on the exterior of each mobile carrier and communicatively coupled to the at least one sensor and to the mobile carrier control system, and an electrical power system positioned in the interior or on the exterior of each mobile carrier and coupled to deliver electrical power to the mobile carrier control system, to the one or more sensors, and to the communication system. Other embodiments are disclosed and claimed.

Abstract: The present disclosure provides an intelligent explosion-proof table, including a worktable, an explosion-proof box; the worktable has a window passing through in the vertical direction. The explosion-proof box with an open top is arranged under the window of the worktable. A lifting plate which can be moved up and down and a support mechanism for driving the lifting plate to be lifted are provided inside the explosion-proof box. The lifting plate is used for placing a danger source and matches with the window and is capable of being raised into the window.

Abstract: Transistor structures and methods of forming transistor structures are provided. The transistor structures include alternating layers of a first epitaxial material and a second epitaxial material. In some embodiments, one of the first epitaxial material and the second epitaxial material may be removed for one of an n-type or p-type transistor. A bottommost layer of the first epitaxial material and the second epitaxial material maybe be removed, and sidewalls of one of the first epitaxial material and the second epitaxial material may be indented or recessed.

Abstract: Aspects of the invention include converting an artificial intelligence (AI) model generated in a first framework to a uniform exchange formatted model by engaging a master table to retrieve instructions for converting from the AI model to the uniform exchange formatted model in accordance with the first framework. The uniform exchange formatted model in compiled by engaging the master table to retrieve instructions for compiling the uniform exchange formatted model in accordance with the first framework. Data is received as an input to the compiled uniform exchange formatted model and an output is generated by engaging the master table to retrieve instructions for generating the output in accordance with the first framework.

Abstract: Systems and methods for intelligently providing users with supporting information based on big-data analyses of a data set. Machine-learning algorithms may be executed using the data set to identify correlations between data objects of the data set. The correlations can be used to recommend supporting information to a user. A user interface can be provided to enable a user to initiate a process associated with an event. In response to receiving the input, the system can identify variables associated with the request. Based on these variables, the system can retrieve output data of the machine-learning algorithms to identify the supporting information for the user.

Abstract: A semiconductor substrate stage for carrying a substrate is provided. The semiconductor substrate stage includes a base layer, a magnetic shielding layer disposed on the base layer, a carrier layer disposed on the magnetic shielding layer, and a receiver disposed on the carrier layer. The receiver is configured to receive a microwave signal from a signal source electrically isolated from the receiver, and the microwave signal is used for controlling the movement of the semiconductor substrate stage.

Abstract: Embodiments of the present disclosure provide a method, apparatus and computer program product for resource scheduling. The method comprises obtaining a processing requirement for a deep learning task, the processing requirement being specified by a user and at least including a requirement related to a completion time of the deep learning task. The method further comprises determining, based on the processing requirement, a resource required by the deep learning task such that processing of the deep learning task based on the resource satisfies the processing requirement. Through the embodiments of the present disclosure, the resources can be scheduled reasonably and flexibly to satisfy the user's processing requirement for a particular deep learning task without requiring the user to manually specify the requirement on the resources.