Abstract: Methods for treating a subject with cancer, including administering to the subject an effective amount of an inhibitor of DNAse1L3 and an effective amount of radiation therapy are provided. In some examples, the methods involve enhancing or inducing response of tumor-associated immune cells in the subject, including administering to the subject an effective amount of radiation therapy, and administering to the subject an effective amount of an inhibitor of DNAse1L3, thereby enhancing or inducing the response of tumor-associated immune cells in the subject. In some examples, the tumor-associated immune cells comprise dendritic cells or macrophages.

Abstract: The appropriate scoping of an access policy can be determined using the observed access and usage of various resources covered under that policy. Information about access requests received over a period of time can be logged, and actions represented in the log data can be mapped to the permissions of the access policy. A new access policy can be generated that includes grant permissions only for those actions that were received and/or granted during the monitored period of time. The new policy can be processed using policy logic to ensure that changes in permission comply with rules or policies for the target resources. The new policy can be at least partially implemented, or can be provided to an authorized user, who can choose to adopt or deny the new policy, or to accept some of the recommendations for modifying the current policy.

Abstract: The appropriate scoping of an access policy can be determined using the observed access and usage of various resources covered under that policy. Information about access requests received over a period of time can be logged, and actions represented in the log data can be mapped to the permissions of the access policy. A new access policy can be generated that includes grant permissions only for those actions that were received and/or granted during the monitored period of time. The new policy can be processed using policy logic to ensure that changes in permission comply with rules or policies for the target resources. The new policy can be at least partially implemented, or can be provided to an authorized user, who can choose to adopt or deny the new policy, or to accept some of the recommendations for modifying the current policy.

Abstract: Methods for treating a subject with cancer, including administering to the subject an effective amount of an inhibitor of DNAse1L3 and an effective amount of radiation therapy are provided. In some examples, the methods involve enhancing or inducing response of tumor-associated immune cells in the subject, including administering to the subject an effective amount of radiation therapy, and administering to the subject an effective amount of an inhibitor of DNAse1L3, thereby enhancing or inducing the response of tumor-associated immune cells in the subject. In some examples, the tumor-associated immune cells comprise dendritic cells or macrophages.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: Exemplary methods, apparatuses, and systems divide data into a plurality of portions such that the data is recoverable using a subset of the plurality of portions. For each portion of the data, a storage device different than storage devices storing all other portions of the data is selected. The selecting of storage devices includes distributing the portions of data based upon diversity of geographic locations of storage devices and diversity of storage device characteristics. The storage device characteristics include at least one of hardware characteristics, software characteristics, and operating history characteristics. Each portion of the data is stored on a corresponding selected storage device.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: A corpus of documents (and other data objects) stored for an entity can be analyzed to determine one or more topics for each document. Elements of the documents can be analyzed to also assign a risk score. The types of topics and security elements, and the associated risk scores, can be learned and adapted over time using, for example, a topic model and random forest regressor. Activity with respect to the documents is monitored, and expected behavior for a user determined using a trained recurrent neural network. Ongoing user activity is processed to determine whether the activity excessively deviates from the expected user activity. The activity can also be compared against the activity of user peers to determine whether the activity is also anomalous among the user peer group. For anomalous activity, risk scores of the accessed documents can be analyzed to determine whether to generate an alert.

Abstract: The present invention features compositions and methods for enhancing an anti-tumor response by administering an OX40 agonist (e.g., an anti-OX40 antibody) and/or an anti-CTLA4 antibody (e.g., a CTLA4-blocking antibody) in combination with a cancer therapy.

Abstract: The order of migrating virtual computing instances from a private data center to a public cloud is optimized using a TSP solver. The method of migrating a plurality of virtual computing instances that are in communication with each other within a private data center to a public cloud includes the steps of assigning, for each different pair of virtual computing instances, a numerical value that represents an amount of data transmission between the pair over a predetermined period of time, determining a recommended order of migration for the virtual computing instances based on the assigned numerical values, and migrating the virtual computing instances according to the recommended order.

Abstract: Disclosed herein are methods of treating or inhibiting a pre-malignant condition, a benign neoplasia, or a virally-induced growth in a subject. The methods include administering a composition including an effective amount of one or more Stimulator of Interferon Genes (STING) agonists, or a pharmaceutically acceptable salt or prodrug thereof, to the subject. In particular embodiments, the methods include administering one or more STING agonists that are a cyclic dinucleotide or a derivative thereof to the subject, for example cyclic diadenylate monophosphate, cyclic diguanylate monophosphate, or a derivative thereof.

Abstract: The order of migrating virtual computing instances from a private data center to a public cloud is optimized using a TSP solver. The method of migrating a plurality of virtual computing instances that are in communication with each other within a private data center to a public cloud includes the steps of assigning, for each different pair of virtual computing instances, a numerical value that represents an amount of data transmission between the pair over a predetermined period of time, determining a recommended order of migration for the virtual computing instances based on the assigned numerical values, and migrating the virtual computing instances according to the recommended order.

Abstract: Exemplary methods, apparatuses, and systems divide data into a plurality of portions such that the data is recoverable using a subset of the plurality of portions. For each portion of the data, a storage device different than storage devices storing all other portions of the data is selected. The selecting of storage devices includes distributing the portions of data based upon diversity of geographic locations of storage devices and diversity of storage device characteristics. The storage device characteristics include at least one of hardware characteristics, software characteristics, and operating history characteristics. Each portion of the data is stored on a corresponding selected storage device.

Abstract: The disclosure relates to a system and method for sizing of system components in a dual fuel port injection system. The system includes a pressure regulator and a safety shut-off valve that feeds a main gas rail. The gas rail is operatively connected to a gas admission valve by a gas jumper tube. The gas admission valve is operatively connected to a gas admission port in a cylinder head or to an intake runner via a gas delivery tube. The gas admission valve has an effective cross sectional area that is defined by the actual cross sectional area multiplied by a modifying coefficient. The components of the system are sized based upon the effective cross sectional area of the gas admission valve.

Abstract: The disclosure is directed to an intake system for a machine, the intake system including a connector including an inlet portion, a mixing portion and an outlet portion where the connector is configured to flow air sequentially through the inlet portion, the mixing portion and the outlet portion within the connector, a fuel admission valve input where the fuel admission valve input is connected to an outer surface of the connector and is configured to receive fuel that subsequently enters inside the connector and a fuel admission point placed within the connector. The fuel admission point is configured to receive the fuel from the fuel admission valve input and introduce the fuel inside the connector. The fuel admission point is further configured to introduce the fuel inside the connector at an angle with respect to an airflow through the connector to generate a turbulent flow and cause mixing of air and fuel.

Abstract: Exemplary methods, apparatuses, and systems divide data into a plurality of portions such that the data is recoverable using a subset of the plurality of portions. For each portion of the data, a storage device different than storage devices storing all other portions of the data is selected. The selecting of storage devices includes distributing the portions of data based upon diversity of geographic locations of storage devices and diversity of storage device characteristics. The storage device characteristics include at least one of hardware characteristics, software characteristics, and operating history characteristics. Each portion of the data is stored on a corresponding selected storage device.

Abstract: Exemplary methods, apparatuses, and systems divide data into a plurality of portions such that the data is recoverable using a subset of the plurality of portions. For each portion of the data, a storage device different than storage devices storing all other portions of the data is selected. The selecting of storage devices includes distributing the portions of data based upon diversity of geographic locations of storage devices and diversity of storage device characteristics. The storage device characteristics include at least one of hardware characteristics, software characteristics, and operating history characteristics. Each portion of the data is stored on a corresponding selected storage device.

Abstract: A system and method allows panels to be dragged into position using an icon displayed on a selector user interface or from another position, and as the panels are moved over a position in which another panel is displayed, the other panel, and panels in subsequent positions, are animated to move out of the position over which the panel being dragged is positioned.