Abstract: A system described herein may provide a technique for identifying and remediating potential threat vectors in a system, such as containers or applications in a virtual or cloud computing environment. Attributes of potential threat vectors may be identified, and the potential threat vectors may be scored based on the attributes. Values or scores of individual attributes may be determined through machine learning or other suitable techniques. Scores exceeding a threshold may indicate that a remedial measure should be performed. A remedial measure may be identified using machine learning or other suitable techniques. After the remedial measure is performed, the threat vector may be scored again, and a machine learning model may be refined based on whether the remedial measure was successful.

Abstract: A hybrid wave computer that computes an inputted original signal as frequency information includes: an input module configured to separate a frequency of the original signal by detecting an oscillation of an piezoelectric element by each position as the original signal having an embedded frequency of several bands is transmitted in a form of acoustic waves on a substrate provided with the piezoelectric element; a calculation module including at least one vibration amplifier or vibration damper for receiving the frequency of the original signal separated in the input module and amplifying or attenuating a wave for each frequency band to calculate the inputted original signal in a frequency band; and a storage module configured to store binarized frequency information in the calculation module as digital information, so that the original signal is interfaced in a form of waves.

Abstract: Systems, methods, and computer-readable storage media facilitating automated testing of datasets including natural language data are disclosed. In the disclosed embodiments, rule sets may be used to condition and transform an input dataset into a format that is suitable for use with one or more artificial intelligence processes configured to extract parameters and classification information from the input dataset. The parameters and classes derived by the artificial intelligence processes may then be used to automatically generate various testing tools (e.g., scripts, test conditions, etc.) that may be executed against a test dataset, such as program code or other types of data.

Abstract: In some implementations, a device may receive a session initiation protocol (SIP) message. The device may determine that the SIP message does not include a parameter indicating that a first portion of the SIP message is to be processed as a telephone number. The device may perform one or more actions including one or more of: determining whether a second portion of the SIP message includes information identifying a service; determining whether the first portion of the SIP message includes a code; determining whether the first portion of the SIP message is formatted according to a format associated with a telephone number; or determining whether the first portion of the SIP message includes characters that are different than hexadecimal characters. The device may selectively cause the SIP message to be routed using the first portion of the SIP message or routed using the second portion of the SIP message.

Abstract: A first network device may receive, from a second network device, a first policy control create request and may provide, to the second network device, a common policy control request trigger. The first network device may receive a second policy control create request associated with a user equipment (UE) and may cause a UE policy to be provided to the UE. The first network device may receive, from a third network device, a third policy control create request and may provide a network device policy to the third network device. The first network device may receive, from the second network device, a policy control update request based on the common policy control request trigger and may generate an updated UE policy or an updated network device policy based on the policy control update request.

Abstract: A smart vial adapter is capable of measuring the dose of a drug that is withdrawn from a vial, measuring the time of a dose capture event, monitoring the vial temperature, measuring the amount of motion or perturbation the vial is subjected to, capturing various other parameters that can provide additional insights associated with the drug or the amount of the dose being drawn from the vial, and communicating the recorded information to a companion application on a computer, smartphone or other device. Related methods are also disclosed and claimed.

Abstract: A crosslinked resin made up of polymerized units of a linear polyamine with at least 3 primary and/or secondary amine functionalities and a bisacrylamide. The crosslinked polymers are porous spherical particles with a BET surface area in the range of 50-120 m2/g. A method of the synthesizing the crosslinked polymer is specified. A method for using the crosslinked resin as an adsorbent material in removing pollutants including organic dyes (e.g. Congo red, Rhodamine B) and heavy metals from an aqueous solution or an industrial wastewater sample is also described.

Abstract: An elevator system includes a first lane oriented in a first direction, a second lane oriented in a second direction, a car configured to travel in the first and second lanes, a repositioning unit configured to reposition the car from the first lane to the second lane and from the second lane to the first lane, and a plurality of guide rails disposed in each of the first and second lanes that are configured to guide the car along each of the first lane and the second lane. The plurality of guide rails includes a plurality of rucksack guide rails configured to guide the car when it is at least one of already on the repositioning unit, entering the repositioning unit, or exiting the repositioning unit, and a plurality of lateral guide rails configured to guide the car when it is not in the repositioning unit.

Abstract: A timepiece (2) includes an actuator, which applies braking pulses to the balance, which has an electromechanical device (6) and an electric control circuit (8). The device (6) includes a flexible member (16), formed by an elastic blade (20) and a mechanical element (22) defining a braking pad, and an electromagnetic system (10) formed by a coil carried by the flexible member and by a permanent magnet rigidly connected to a support (18) of the electromechanical device. When an electric pulse is provided to the coil, an electromagnetic force of repulsion is engendered between the coil and the permanent magnet so the mechanical element moves to a position of contact with the balance. To stabilise the rest position of the flexible member, a magnetic element (26) is rigidly connected to the coil to exert a magnetic return force complementary to the force of the elastic blade is provided.

Abstract: The present disclosure discloses a method for assessing soil health of cultivated land, which adopts “three sets of dual index assessment systems”, that is an index system for current soil function and a healthy soil function required by crops, an index system for current soil nutrition and healthy soil nutrition required by crops, and an index system for current crop output of cultivated land and a crop output expected by cultivated land users or owners. The method solves the shortcomings of the existing assessment systems that the existing soil health assessment index system has no hierarchy and applicability. This method includes using deviating degree of ratio R e.g., the index current value C/index health value E of measured dual index from 1 as well as it is simple, and the assessment result may directly determine the indicators or factors that can be used for guiding soil improvement and conservation.

Abstract: Disclosed is a method and apparatus for quantifying severity of infectious disease based on a vision transformer using a chest X-ray (CXR) image. Here, a method of quantifying severity of infectious disease based on a vision transformer includes receiving an input CXR image; extracting a feature map from the received input CXR image using a pretrained neural network; classifying a lesion in the input CXR image using the vision transformer based on the extracted feature map; and quantifying severity of the input CXR image based on the extracted feature map and the classified lesion.

Abstract: A post insulator includes an insulating post including a first end and a second end that are opposite to each other, a high-voltage-end grading ring connected to the first end of the insulating post, the high-voltage-end grading ring being insulated from the insulating post, a grounding-end grading ring connected to the second end of the insulating post, the grounding-end grading ring being insulated from the insulating post, and a charge control ring disposed on an outer surface of the insulating post, the charge control ring being insulated from the insulating post, and the charge control ring being configured to accumulate surface charges.

Abstract: Some aspects of this disclosure provide strategies, systems, reagents, methods, and kits that are useful for engineering Cas9 and Cas9 variants that have increased activity on target sequences that do not contain the canonical PAM sequence (e.g., NGG). In some embodiments, fusion proteins comprising such Cas9 variants and nucleic acid editing domains, e.g., deaminase domains, are provided.

Abstract: The present disclosure provides novel adenine base editors that retain ability to edit DNA efficiently but show greatly reduced off-target effects, such as reduced RNA editing activity, as well as lower off-target DNA editing activity and reduced indel by product formation. Also provided are base editing methods comprising contacting a nucleic acid molecule with an adenine base editor and a guide RNA that has complementarity to a target sequence. Further provided are complexes comprising a guide RNA bound to a base editor provided herein; and kits and pharmaceutical compositions for the administration of adenine base editor variants to a host cell.

Abstract: A measurement method of subcell photocurrents and a matching degree of the subcell photocurrents of a multi-junction photovoltaic cell is provided. The measurement method includes measuring an I-V characteristic of the multi-junction photovoltaic cell; and measuring currents corresponding to respective current steps in an I-V curve to obtain approximate values of short-circuit currents of subcells in the multi-junction photovoltaic cell, and then calculating a mismatching degree of the multi-junction photovoltaic cell using step currents. According to the measurement method, a current mismatching degree of the multi-junction photovoltaic cell is obtained by calculating the mismatching degree of the step currents occurring in the I-V curve. The measurement method is rapid and simple, the measurement method avoids complicated and time-consuming processes where the subcell photocurrents are calculated based on a standard light source spectrum integral with bias lights applied.

Abstract: A method of improving performance of classification on the basis of mixed sampling is applied. The present invention is directed to providing a method and apparatus for improving the performance of classification on the basis of mixed sampling that are capable of, when learning a model that classifies types using deep learning by dividing the entire data set and using the divided data set for training, validation, and testing, applying different sampling techniques by types of data according to the characteristics of the training data in order to improve the classification performance.