Abstract: Disclosed is a high-resistance resistor based on silicon carbide. The resistor includes a semi-insulating 4H—SiC silicon carbide substrate, a silicon surface and a carbon surface of the silicon carbide substrate are provided with symmetrical atomic-thickness aluminum oxide insulating layers, thicknesses of the aluminum oxide insulating layers are 0.2 nm-2 nm, conductive metal electrodes are formed at two sides of the aluminum oxide insulating layers through evaporation, and thicknesses of the metal electrodes are 100 nm-500 nm. The present disclosure uses a high-resistance resistor based on silicon carbide that has the above structure, makes an ohmic contact electrode on a semi-insulating silicon carbide substrate, thus obtaining a resistor with a resistance of 100 T? or more, and satisfying requirements of the precision measurement industry.

Abstract: Disclosed herein are system, method, and computer program product embodiments for hybrid-type authorization. An embodiment operates by parsing a policy expression into an abstract syntax tree (AST) and receiving, from a local server, user attribute data of a user. The embodiment further operates by traversing the AST to evaluate the user attribute data and determining whether a result of the traversing is indeterminate. In addition the embodiment operates by sending, to a remote server, a request for additional user attribute data in response to determining that the result is indeterminate, and receiving, from the remote server, the additional user attribute data. Then the embodiment operates by re-traversing the AST to evaluate the user attribute data and the additional user attribute data, authorizing the user based on at least one of the traversing or re-traversing, and outputting an authorization result.

Abstract: A high-trafficability ATV for flooded and muddy roads is provided. The ATV includes a frame assembly, wheels, an engine power system, a continuously variable transmission (CVT) system, a cooling system, and a fuel system, where the cooling system includes a radiator and a radiator fan that are arranged at a front upper part of an ATV body. The radiator and radiator fan adopt a high-position design to improve the ATV's heat dissipation and wading performance. Besides, CVT intake and exhaust lines, an air filter, front and rear reducers, a gearbox, and fuel tank intake and exhaust ports also adopt a high-position design, fully leveraging the wading advantage of a suspension system of the ATV and maximizing the wading depth of the ATV.

Abstract: A second alliance management apparatus receives a local identity credential obtaining request from a second operation apparatus, obtains a federal identity credential of a first user from a first alliance management apparatus based on an identity credential of a first user on a first cloud platform, converts the federal identity credential of the first user into an identity credential of the first user on a second cloud platform, and returns, to the second operation apparatus, the identity credential of the first user on the second cloud platform such that a client of the first user obtains the identity credential, and generates an application programming interface (API) invocation request based on the identity credential, thereby implementing procedure collaboration between cloud platforms for the API invocation request.

Abstract: Methods, systems, and computer-readable storage media for receiving a key and a value of a data object, determining a first identifier and a second identifier based on the key, defining an entry object including the first identifier, the second identifier, and the value, and storing the entry object in a hashmap by: determining a first value of a first index based on the first identifier, determining a second value of a second index to provide a first value and second value pair that defines a first location within the hashmap storing the first identifier, determining a third value of a third index for the first value and second value pair, where the first value, the second value, and the third value define a second location within the hashmap storing the second identifier, and storing the value at a third location within the hashmap.

Abstract: Mechanisms are provided to hypothetical scenario evaluations with regard to infectious disease dynamics based on similar regions. A user definition of a hypothetical scenario for a target region is received which specifies scenario features affecting an infectious disease spread amongst a population within the target region. Other predefined regions, in the set of predefined regions, having similar region characteristics to the target region are identified and attributes of the other predefined regions corresponding to the scenario features are identified. Modified model parameter(s) for an infectious disease computer model are derived based on the identified attributes. An instance of the infectious disease computer model is configured with the modified model parameter(s) and the instance is executed on case report data for the target region to generate a prediction for an infectious disease spread in the target region according to the hypothetical scenario, which is then output.

Abstract: Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.

Abstract: Methods, systems, and computer-readable storage media for receiving a key and a value of a data object, determining a first identifier and a second identifier based on the key, defining an entry object including the first identifier, the second identifier, and the value, and storing the entry object in a hashmap by: determining a first value of a first index based on the first identifier, determining a second value of a second index to provide a first value and second value pair that defines a first location within the hashmap storing the first identifier, determining a third value of a third index for the first value and second value pair, where the first value, the second value, and the third value define a second location within the hashmap storing the second identifier, and storing the value at a third location within the hashmap.

Abstract: An iterative process for optimizing one or more parameters used by a k-mer based de novo genome assembler program to assemble a set of sequenced nucleic acids is described. The method utilizes quality metrics whose desired values are initially specified. Computed values of the quality metrics are calculated during the assembly process and compared to the desired values. The assembly process stops when the computed values are not desired values. After modification of one or more of the parameters (e.g., k-mer value), the assembly process re-initiates using the modified parameter set. This process repeats until the computed values of the quality metrics meet the desired values. The final parameter set is then used to generate or complete one or more final assembled genomes.

Abstract: Disclosed is a high-resistance resistor based on silicon carbide. The resistor includes a semi-insulating 4H-SiC silicon carbide substrate, a silicon surface and a carbon surface of the silicon carbide substrate are provided with symmetrical atomic-thickness aluminum oxide insulating layers, thicknesses of the aluminum oxide insulating layers are 0.2 nm-2 nm, conductive metal electrodes are formed at two sides of the aluminum oxide insulating layers through evaporation, and thicknesses of the metal electrodes are 100 nm-500 nm. The present disclosure uses a high-resistance resistor based on silicon carbide that has the above structure, makes an ohmic contact electrode on a semi-insulating silicon carbide substrate, thus obtaining a resistor with a resistance of 100 T? or more, and satisfying requirements of the precision measurement industry.

Abstract: The disclosure relates to an oximeter, including a blood oxygen collecting unit that has a first light emitting unit emitting a red light, a second light emitting unit emitting an infrared light, and a light receiving sensor receiving the red light emitted by the first light emitting unit and not absorbed by a human body and the infrared light emitted by the second light emitting unit and not absorbed by the human body, and converting them into an electrical signal, a storage unit that stores measurement data and/or a power-on startup screen, the power-on startup screen including the last measurement result of a blood oxygen saturation and/or previous measurement results of the blood oxygen saturation, a power-on button that is for power-on startup, a microprocessor that calculates a blood oxygen saturation of the human body based on the electrical signal detected by the light receiving sensor.

Abstract: An electrode structure with an alloy interface is provided. In one aspect, a method of forming a contact structure includes: patterning a via in a first dielectric layer; depositing a barrier layer onto the first dielectric layer, lining the via; depositing and polishing a first metal layer (Element A) into the via to form a contact in the via; depositing a second metal layer (Element B) onto the contact in the via; annealing the first and second metal layers under conditions sufficient to form an alloy AB; depositing a third metal layer onto the second metal layer; patterning the second and third metal layers into a pedestal stack over the contact to form an electrode over the contact, wherein the alloy AB is present at an interface of the electrode and the contact; and depositing a second dielectric that surrounds the pedestal stack. A contact structure is also provided.

Abstract: Mechanisms are provided to adapt computer modeling of an infectious disease based on noisy data and perform hyperlocal prediction of infectious disease dynamics and risks. Case report data is received and a trained background noise computer model is applied to generate first prediction results predicting infectious disease dynamics. The trained background noise computer model is trained to model infectious disease dynamics assuming that there is no community spread of the infectious disease. A first error measure of the first prediction results is determined and, in response to the first error measure being lower than a threshold value, the first prediction results are selected to output as predicted infectious disease dynamics. In response to the first error measure being equal/greater than the threshold value, second prediction results are selected. The second prediction results are generated by applying a trained infectious disease computer model to the received case report data.

Abstract: Mechanisms are provided to hypothetical scenario evaluations with regard to infectious disease dynamics based on similar regions. A user definition of a hypothetical scenario for a target region is received which specifies scenario features affecting an infectious disease spread amongst a population within the target region. Other predefined regions, in the set of predefined regions, having similar region characteristics to the target region are identified and attributes of the other predefined regions corresponding to the scenario features are identified. Modified model parameter(s) for an infectious disease computer model are derived based on the identified attributes. An instance of the infectious disease computer model is configured with the modified model parameter(s) and the instance is executed on case report data for the target region to generate a prediction for an infectious disease spread in the target region according to the hypothetical scenario, which is then output.

Abstract: Mechanisms are provided for hyperlocal prediction of epidemic dynamics and risks. Regional machine learning training is performed on an infectious disease computer model at least by: receiving first case report data; pre-processing the first case report data to remove noise at least by applying a smoothening algorithm to form first smoothed data; aggregating the first smoothed data into regional data, wherein aggregating the first smoothed data comprises correlating the first smoothed data to a target region corresponding to a population; and training the model using the regional data. The trained model is executed on new second case report data for the target region and automatic monitoring of performance of the model is performed according to a prediction accuracy of the model. In response to the prediction accuracy being below a predetermined threshold, automatic retraining is initiated.

Abstract: Mechanisms are provided to perform automatic case intervention detection in infectious disease case reports and for configuring an infectious disease computer model based on the automatic intervention detection. Case report data is received and a time ordered curve of the case report data is generated. One or more inflection points in the time ordered curve are identified. The one or more inflection points in the time ordered curve are correlated with one or more intervention entries specified in time stamped infectious disease intervention data, the one or more intervention entries specifying interventions implemented by authorities to control spread of the infectious disease. One or more model parameters of an infectious disease computer model are configured based on results of correlating the one or more inflection points with the one or more intervention entries.

Abstract: Mechanisms are provided for performing automated monitoring and retraining of infectious disease computer models. A trained infectious disease computer model is executed on case report data for a target region to generate prediction results predicting a state of an infectious disease spread within the target region for a given time. The prediction results generated by the trained infectious disease computer model are automatically compared to ground truth data to determine a deviation between the prediction results and the ground truth data. The ground truth data comprises at least one of actual case report data collected and reported by source computing systems for the given time, or a previous prediction result generated by the trained infectious disease computer model. Statistical test(s) are applied to the deviation to determine if it is statistically significant, and if so, re-training of the trained infectious disease computer model is automatically initiated.

Abstract: Mechanisms are provided for compartmental epidemiological computer modeling based on mobility data. Machine learning training of an isolation rate prediction computer model is performed to generate a trained isolation rate prediction model that predicts an isolation rate of a biological population. Isolation data is received which comprises data indicating a measure of mobility of the biological population. The trained isolation rate prediction model is executed on input features extracted from the isolation data to generate a predicted isolation rate. A compartmental epidemiological computer model, comprising a plurality of compartments representing states of a population with regard to an infectious disease, is executed to simulate a progression of the infectious disease and flows of portions of the population from between compartments in the compartmental epidemiological computer model are controlled based on the predicted isolation rate.

Abstract: The present invention relates to a photoelectric coal and gangue sorting device and a sorting method therefor. The device comprises a support frame, a coal and gangue separation screen body, a sealing upper cover, a sieving mechanism, a driving mechanism, a separating and conveying mechanism, a positioning plate and a sorting unit; the coal and gangue separation screen body, on the top of which is provided with the sealing upper cover and inside of which is provided with the separating and conveying mechanism, is fixedly installed on one side of the support frame by means of bolts; the side wall of the positioning plate, which is arranged above the separating and conveying mechanism, is fixed to the inner wall of the coal and gangue separation screen body by means of spot welding.

Abstract: The present invention relates to a photoelectric coal and gangue sorting device and a sorting method therefor. The device comprises a support frame, a coal and gangue separation screen body, a sealing upper cover, a sieving mechanism, a driving mechanism, a separating and conveying mechanism, a positioning plate and a sorting unit; the coal and gangue separation screen body, on the top of which is provided with the sealing upper cover and inside of which is provided with the separating and conveying mechanism, is fixedly installed on one side of the support frame by means of bolts; the side wall of the positioning plate, which is arranged above the separating and conveying mechanism, is fixed to the inner wall of the coal and gangue separation screen body by means of spot welding.