Abstract: In one respect, there is provided a system for classifying malware. The system may include a data processor and a memory. The memory may include program code that provides operations when executed by the processor. The operations may include: providing, to a display, contextual information associated with a file to at least enable a classification of the file, when a malware classifier is unable to classify the file; receiving, in response to the providing of the contextual information, the classification of the file; and updating, based at least on the received classification of the file, the malware classifier to enable the malware classifier to classify the file. Methods and articles of manufacture, including computer program products, are also provided.

Abstract: In one aspect, a computer-implemented method is disclosed. The computer-implemented method may include determining a sketch matrix that approximates a matrix representative of a reference dataset. The reference dataset may include at least one computer program having a predetermined classification. A reduced dimension representation of the reference dataset may be generated based at least on the sketch matrix. The reduced dimension representation may have a fewer quantity of features than the reference dataset. A target computer program may be classified based on the reduced dimension representation. The target computer program may be classified to determine whether the target computer program is malicious. Related systems and articles of manufacture, including computer program products, are also disclosed.

Abstract: A system is provided for classifying an instruction sequence with a machine learning model. The system may include at least one processor and at least one memory. The memory may include program code that provides operations when executed by the at least one processor. The operations may include: processing an instruction sequence with a trained machine learning model configured to detect one or more interdependencies amongst a plurality of tokens in the instruction sequence and determine a classification for the instruction sequence based on the one or more interdependencies amongst the plurality of tokens; and providing, as an output, the classification of the instruction sequence. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: A modular light for removably attaching to a bio-printer robot end effector, where the light includes: an annular modular light ring housing with an annular opening for receiving the end effector of the bioprinting robot; the housing substantially surrounding a dispensing tip of the end effector; a power supply interface to receive electrical power from the end effector; a plurality of LEDs positioned annularly around the end effector within the annular modular light ring housing, where the plurality of LEDs are spaced in at least two annular rows, where each of the at least two annular rows are at a unique elevational position within the annular modular light ring housing with respect to a light output plane of the annular modular light ring housing; the LEDs are in electrical communication with the power supply interface; and a controller communicatively coupled with the LEDs and the power supply interface.

Abstract: In one respect, there is provided a system for classifying an instruction sequence with a machine learning model. The system may include at least one processor and at least one memory. The memory may include program code that provides operations when executed by the at least one processor. The operations may include: processing an instruction sequence with a trained machine learning model configured to detect one or more interdependencies amongst a plurality of tokens in the instruction sequence and determine a classification for the instruction sequence based on the one or more interdependencies amongst the plurality of tokens; and providing, as an output, the classification of the instruction sequence. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: A power supply for a smooth power output level transitioning includes an energy storage circuit for temporarily storing electric energy for driving a load, a semiconductor switch for pulse-width modulation (PWM) switching, and a digital PWM controller. The digital PWM controller generates a driving waveform to regulate on and off status of the semiconductor switch. The driving waveform toggles between PWM periods of a first type and PWM periods of a second type, and gradually adjusts a ratio of numbers of the PWM periods of the two types over time. The toggling driving waveform achieves one or more intermediate finer power output level that cannot be realized by a single type of PWM period with an intermediate duty cycle, due to the minimum item unit of the driving waveform limited by a clock rate of the digital PWM controller.

Abstract: The present invention provides processes for the preparation of 3, 5-Dihydroxy-4-isopropyl-trans-stilbene or a salt or solvate thereof and novel intermediates used therein. In some embodiments the 3, 5-Dihydroxy-4-isopropyl-trans-stilbene is prepared from (E)-2-chloro-2-isopropyl-5-styrylcyclohexane-1,3-dione. Also disclosed are crystal forms of 3, 5-Dihydroxy-4-isopropyl-trans-stilbene or a salt or solvate thereof and pharmaceutical compositions comprising same.

Abstract: The disclosure includes methods, systems and apparatus for predictive management of efficient selecting and receiving of retail electric utility service to a facility for a period, by automated selecting of a retail utility service provider corresponding to a selected least cost path of predicted rate plan choices across the period, wherein costs of all possible, viable time-bounded predicted rate plan choices are determined for predicted consumer usage where a predicted market of retail rate formulas for the period are predicted in relation to at least one variable, such as weather.

Abstract: The present invention provides processes for the preparation of 3, 5-Dihydroxy-4-isopropyl-trans-stilbene or a salt or solvate thereof and novel intermediates used therein. In some embodiments the 3, 5-Dihydroxy-4-isopropyl-trans-stilbene is prepared from (E)-2-chloro-2-isopropyl-5-styrylcyclohexane-1,3-dione. Also disclosed are crystal forms of 3, 5-Dihydroxy-4-isopropyl-trans-stilbene or a salt or solvate thereof and pharmaceutical compositions comprising same.

Abstract: In one respect, there is provided a system for training a neural network adapted for classifying one or more instruction sequences. The system may include at least one processor and at least one memory. The memory may include program code which when executed by the at least one processor provides operations including: training, based at least on training data, a machine learning model to detect one or more predetermined interdependencies amongst a plurality of tokens in the training data; and providing the trained machine learning model to enable classification of one or more instruction sequences. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: The present invention provides processes for the preparation of 3,5-Dihydroxy-4-isopropyl-trans-stilbene or a salt or solvate thereof and novel intermediates used therein. In some embodiments the 3,5-Dihydroxy-4-isopropyl-trans-stilbene is prepared from (E)-2-chloro-2-isopropyl-5-styrylcyclohexane-1,3-dione. Also disclosed are crystal forms of 3,5-Dihydroxy-4-isopropyl-trans-stilbene or a salt or solvate thereof and pharmaceutical compositions comprising same.

Abstract: The present disclosure relates to pyrophoric pellets that break apart into individual particulates or agglomerates when exposed to air and emit infrared radiation. The pyrophoric pellets include: (a) about 35 to about 95 wt. % of pyrophoric particles; (b) about 0.05 to about 30 wt. % of one or more thermally expandable particles; (c) about 1 to about 40 wt. % of one or more additives that modify IR signature; and (d) optionally, one or more additives that produce smoke at a temperature of 150° C. or greater. The pyrophoric pellets are particularly useful as countermeasures to protect against incoming missiles.

Abstract: A method and system for detecting and grouping users in electronic communications includes detecting electronic communications by a user using a device having a computer to communicate with other users. A number of message recipients are identified in the electronic communications. The message recipients are placed in a social graph based on a criteria such as the frequency of the electronic communications between the user and the message recipients. A group is created of the message recipients based on the social graph, and the group is presented to the user. The group can be accessed by the user for routing future electronic communications.

Abstract: A power supply for a smooth power output level transitioning includes an energy storage circuit for temporarily storing electric energy for driving a load, a semiconductor switch for pulse-width modulation (PWM) switching, and a digital PWM controller. The digital PWM controller generates a driving waveform to regulate on and off status of the semiconductor switch. The driving waveform toggles between PWM periods of a first type and PWM periods of a second type, and gradually adjusts a ratio of numbers of the PWM periods of the two types over time. The toggling driving waveform achieves one or more intermediate finer power output level that cannot be realized by a single type of PWM period with an intermediate duty cycle, due to the minimum item unit of the driving waveform limited by a clock rate of the digital PWM controller.

Abstract: Embodiments provide methods, systems and apparatus for predictive management of efficient selecting and receiving of retail electric utility service to a facility for a period, by automated selecting of a retail utility service provider corresponding to a selected least cost path of predicted rate plan choices across the period, wherein costs of all possible, viable time-bounded predicted rate plan choices are determined for predicted consumer usage where a predicted market of retail rate formulas for the period are predicted in relation to at least one variable, such as weather.

Abstract: A method and testing apparatus determine receding contact angles of liquids on surfaces by depositing a liquid in a manner whereby the volume of the drop is increased through stepwise addition of smaller drops. Each increment of volume growth causes the perimeter of the drop to advance across the surface. The incremental volume elements impart sufficient energy to the growing drop such that the drop perimeter expands beyond its equilibrium diameter for that volume. The drop perimeter tends to contract between volume additions as the excess energy is dissipated. The method and testing apparatus determine the receding contact angle between the incremental volume additions.

Abstract: The present invention relates to filter material for inclusion in a smoking article, said filter material comprising a base material comprising or made from fibers having a first diameter or mean diameter, and fine fibers having a diameter or mean diameter which is smaller than the first diameter, wherein the filter material comprises more than 10% by weight and/or by volume fine fibers or wherein the diameter or mean diameter of the fine fibers is between about 1.0 ?m and about 1.5 ?m. The invention also relates to filters or filter elements comprising the filter material, smoking articles comprising the same, and use of the filter material in smoke filtration.

Abstract: In some implementations there may be provided a system. The system may include a processor and a memory. The memory may include program code which causes operations when executed by the processor. The operations may include analyzing a series of events contained in received data. The series of events may include events that occur during the execution of a data object. The series of events may be analyzed to at least extract, from the series of events, subsequences of events. A machine learning model may determine a classification for the received data. The machine learning model may classify the received data based at least on whether the subsequences of events are malicious. The classification indicative of whether the received data is malicious may be provided. Related methods and articles of manufacture, including computer program products, are also disclosed.

Abstract: The invention relates to peptidic compounds, which peptidic compounds are compounds of formula (I)?, or a pharmaceutically acceptable salt, or solvate, or N-oxide, or stereoisomer thereof: wherein R1; R2; s; t; u; Aa78 and G1 are as defined herein. The peptidic compounds are useful in activating the Nrf2 pathway.