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: An augmented reality viewing system is described. A local coordinate frame of local content is transformed to a world coordinate frame. A further transformation is made to a head coordinate frame and a further transformation is made to a camera coordinate frame that includes all pupil positions of an eye. One or more users may interact in separate sessions with a viewing system. If a canonical map is available, the earlier map is downloaded onto a viewing device of a user. The viewing device then generates another map and localizes the subsequent map to the canonical map.

Abstract: The disclosure discloses a dendritic polyethylene glycol derivative and a preparation method and an application thereof. The dendritic polyethylene glycol derivative has a structure of formula (I), has multiple end functional groups, has a stronger water solubility in comparison with linear-chain polyethylene glycol, and can solve a problem of insufficient water solubility due to the increase of load when modifying an insoluble drug by the polyethylene glycol. The preparation method of the dendritic polyethylene glycol derivative provided by the disclosure has mild reaction conditions, is green and environmentally friendly, is low in cost, and is easy to implement industrialization.

Abstract: A cross reality system enables any of multiple devices to efficiently and accurately access previously stored maps and render virtual content specified in relation to those maps. The cross reality system may include a cloud-based localization service that responds to requests from devices to localize with respect to a stored map. The request may include one or more sets of feature descriptors extracted from an image of the physical world around the device. Those features may be posed relative to a coordinate frame used by the local device. The localization service may identify one or more stored maps with a matching set of features. Based on a transformation required to align the features from the device with the matching set of features, the localization service may compute and return to the device a transformation to relate its local coordinate frame to a coordinate frame of the stored map.

Abstract: A cross reality system enables any of multiple types of devices to efficiently and accurately access previously stored maps and render virtual content specified in relation to those maps. The cross reality system may include a cloud-based localization service that responds to requests from devices to localize with respect to a stored map. Devices of any type, with native hardware and software configured for augmented reality operations may be configured to work with the cross reality system by incorporating components that interface between the native AR framework of the device and the cloud-based localization service. These components may present position information about the device in a format recognized by the localization service. Additionally, these components may filter or otherwise process perception data provided by the native AR framework to increase the accuracy of localization.

Abstract: An augmented reality viewing system is described. A local coordinate frame of local content is transformed to a world coordinate frame. A further transformation is made to a head coordinate frame and a further transformation is made to a camera coordinate frame that includes all pupil positions of an eye. One or more users may interact in separate sessions with a viewing system. If a canonical map is available, the earlier map is downloaded onto a viewing device of a user. The viewing device then generates another map and localizes the subsequent map to the canonical map.

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 discloses a conjugate of PEG (polyethylene glycol) and rapamycin and use thereof, in particular use in preparation of a medicament for reducing immune response, wherein conjugate of PEG and rapamycin can remarkably lower the generation rate of an antibody directed to foreign immunogen, and reduce excessive immune responses caused by use thereof. The conjugate of PEG and rapamycin has beneficial effects of ensuring and even improving the treatment effect of a therapeutic agent, improving the own immunity of a subject, reducing and even eliminating graft rejection, and is advantageous in a relatively simple preparation process thereof, low cost, easy industrial production, and a high application value.

Abstract: In one respect, there is provided a system for training a neural network adapted for classifying one or more scripts. 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 memory. The operations may include: extracting, from an icon associated with a file, one or more features; assigning, based at least on the one or more features, the icon to one of a plurality of clusters; and generating, based at least on the cluster to which the icon is assigned, a classification for the file associated with the icon. Related methods and articles of manufacture, including computer program products, are also provided.

Abstract: The present invention relates to a Y-type discrete polyethylene glycol derivative as shown by Formula (I). The Y-type discrete polyethylene glycol derivative has the advantages of a determined molecular weight and number of segments in the chain, and can avoid the defects where the polyethylene glycol derivative itself is a mixture and the molecular weight is not homogeneous. The Y-type polyethylene glycol of the present invention can solve the problem of insufficient water solubility caused by an increase in the loading capacity when the discrete polyethylene glycol modifies an insoluble drug while increasing the drug loading capacity.

Abstract: Under one aspect, a method is provided for protecting a device from a malicious file. The method can be implemented by one or more data processors forming part of at least one computing device and can include extracting from the file, by at least one data processor, sequential data comprising discrete tokens. The method also can include generating, by at least one data processor, n-grams of the discrete tokens. The method also can include generating, by at least one data processor, a vector of weights based on respective frequencies of the n-grams. The method also can include determining, by at least one data processor and based on a statistical analysis of the vector of weights, that the file is likely to be malicious. The method also can include initiating, by at least one data processor and responsive to determining that the file is likely to be malicious, a corrective action.

Abstract: The disclosure discloses a linker compound, a polyethylene glycol-linker conjugate and a derivative thereof, and a polyethylene glycol-linker-drug conjugate. The linker compound as well as the conjugate thereof with the polyethylene glycol and the derivative thereof may be used for modifying a drug, and a modification reaction is simple and easy to carry out. Moreover, a reaction yield is high, and an application range of the modified drug is wide. The modified drugs gradually degrade from a chain of the conjugate in vivo, and may stay in a lesion (such as a cancer site) for a longer period of time, achieving purposes of sustained and controlled release, reducing an administration frequency, and greatly improving a bioavailability of the drug and a patient compliance.

Abstract: Under one aspect, a method is provided for protecting a device from a malicious file. The method can be implemented by one or more data processors forming part of at least one computing device and can include extracting from the file, by at least one data processor, sequential data comprising discrete tokens. The method also can include generating, by at least one data processor, n-grams of the discrete tokens. The method also can include generating, by at least one data processor, a vector of weights based on respective frequencies of the n-grams. The method also can include determining, by at least one data processor and based on a statistical analysis of the vector of weights, that the file is likely to be malicious. The method also can include initiating, by at least one data processor and responsive to determining that the file is likely to be malicious, a corrective action.

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: A system is provided for training a machine learning model to detect malicious container files. 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: processing a container file with a trained machine learning model, wherein the trained machine learning is trained to determine a classification for the container file indicative of whether the container file includes at least one file rendering the container file malicious; and providing, as an output by the trained machine learning model, an indication of whether the container file includes the at least one file rendering the container file malicious. Related methods and articles of manufacture, including computer program products, are also disclosed.

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 discloses use of a conjugate of polyethylene glycol and a local anesthetic in non-anesthetic analgesia. A local anesthetic is prepared into a prodrug or a sustained release preparation, wherein a high molecular polymer such as polyethylene glycol in the prodrug is covalently bonded with a local anesthetic, and auxiliary materials with a sustained release effect in the sustained release preparation are non-covalently bonded to the local anesthetic. After administration, there is no anesthesia and analgesic effect before the release of the free local anesthetic. After the free local anesthetic is released, an analgesic effect is achieved.

Abstract: The present invention discloses polyglycol epoxide crosslinked sodium hyaluronate gel for injection and a preparation method thereof. A polyglycol epoxide is a compound with single molecular weight preferably; a plurality of ether bonds are present in the molecule of the polyglycol epoxide, the water solubility is good, and thus, the polyglycol epoxide is more easily subjected to a crosslinking reaction with polysaccharides; and meanwhile, polyglycol is relatively easy in adjustment of the number of repeating units and relatively easy in control of length, and thus, the sodium hyaluronate gel prepared by taking the polyglycol epoxide as a crosslinker is relatively easy in regulation and control of properties. The crosslinked sodium hyaluronate gel is low in toxicity, little in residual, small in squeezing and pushing force, good in shaping performance, good in enzyme resistance and long in in-vivo retention time. The present invention further discloses a mild crosslinker deactivation technology.

Abstract: The disclosure provides a multi-arm multi-claw polyethylene glycol derivative suitable for click chemistry reactions of general formula I, wherein R is a polyethylene glycol residue having a linear-chain structure, a Y-type structure or a multi-branched structure, R1, R2 and R3 are linking groups, P is an terminal group of non-azido non-alkynyl group, D is —N3 or —C?CH, l is selected from an integer of 1 to 20, and m is selected from an integer of 0 to 19.

Abstract: Being used for drug modification, the multi-arm single molecular weight polyethylene glycol and an active derivative thereof provided herein can effectively improve the solubility, stability, and immunogenicity of the drugs, improve the absorption of the drugs in vivo, prolong the half-life of the drugs, and increase bioavailability, enhance efficacy, and reduce toxic and side effects of the drugs. A gel formed from the active derivative of the multi-arm single molecular weight polyethylene glycol provided herein can be used for the preparation of controlled release drugs so as to prolong the action time of the drugs, thereby reducing the number of administrations and improving patient compliance.