Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program may provide a client device a collection of data objects in a subset of the plurality of collections of data objects. The program may receive a selection of a data object in the collection of data objects. The program may determine a set of policies associated with the data object. The program may apply the set of policies on the data object. Based on the application of the set of policies on the data object, the program may determine whether to process the data object.

Abstract: A computer system is provided. The computer system includes a memory and at least one processor coupled to the memory and configured to extract, from a website vulnerability scanner log, a uniform resource locator (URL) and a vulnerability score and vulnerability classification associated with the URL. The at least one processor is further configured to generate an application vulnerability graph comprising connected nodes that are associated with a field of the URL. The nodes are labeled to indicate the associated field of the URL and color coded based on the vulnerability score. The nodes are also associated with the vulnerability classification. The at least one processor is further configured to enable or disable security protection against a user-selected vulnerability classification of a user-selected node by generating web application firewall security rules and/or web application firewall relaxation rules.

Abstract: The present disclosure describes series pH-activable fluorescent probes based on a single BODIPY scaffold selectively targeting lysosomal, mitochondrial, and nucleus. The divergent cell organelle targeting was achieved by synthesizing pH-activable fluorescent probes with differential fluorescence profiles arising due to the presence of a unique functional group in the scaffold. We discovered that the functional group transformation in the same scaffold influences the localization ability of pH-activable fluorescent probes in cell organelle. The development of pH-activable fluorescent probes that target lysosomes and mitochondria organelles in live and fixed primary mouse microglial cells warrants future use in disease-specific biological models.

Abstract: A vehicular sensing system includes a sensor disposed at a vehicle and operable to capture sensor data representative of exhaust emitted by the vehicle during operation of the vehicle. A data processor processes sensor data captured by the sensor to determine a measured level of a pollutant present in the exhaust emitted by the vehicle. The vehicular sensing system, responsive to processing of sensor data captured by the sensor, determines that the measured level of the pollutant present in the exhaust is greater than a threshold level.

Abstract: Methods, apparatuses, and computer program products for energy-centric predictive maintenance scheduling are provided. For example, a computer-implemented method may include inputting historical time-varying sensor state values associated with an asset into a data model to train the data model; inputting expected future time-varying asset-independent data over a time frame into the data model; generating from the data model predicted sensor state values and energy usage associated with the asset over the time frame; determining optimum energy usage by the asset over the time frame; calculating energy wastage over the time frame based on a difference between the predicted energy usage and the optimum energy usage; calculating, using the predicted sensor state values, one or more asset performance metrics corresponding to one or more preventive maintenance tasks; and generating and reporting one or more recommended service tasks over the time frame based at least in part on the calculated energy wastage.

Abstract: Systems and methods for inspecting or characterizing samples, such as by characterizing patterned features or structures of the sample. In an aspect, the technology relates to a method for characterizing a patterned structure of a sample. The method includes directing a pump beam to a first position on a surface of the sample to induce a surface acoustic wave in the sample and directing a probe beam to a second position on the sample, where the probe beam is affected by the surface acoustic wave when the probe beam reflects from the surface of the sample. The method also includes detecting the reflected probe beam, analyzing the detected reflected probe beam to identify a frequency mode in the reflected probe beam, and based on the identified frequency mode, determining at least one of a width or a pitch of a patterned feature in the sample.

Abstract: According to an aspect, a computer-implemented method includes intercepting a call to invoke execution of a service as part of performing a synchronous transaction. A current state of the synchronous transaction is captured and persisted in a transaction object corresponding to the synchronous transaction. Execution of the service is invoked.

Abstract: This disclosure describes hardware for microfluidic chips and an associated platform for facilitating operation of one or more microfluidic chips. The microfluidic chips described herein are designed for supporting multiple different tissue types, including kidney tissue, liver tissue, adipose cells, and so forth. Chip geometry facilities fluid flow through one or more channels of the chip with a particular flow rate. For example, shear forces are reduced where needed to ensure proper flow rate of fluid in the channels. The chamber geometry and the geometry of the channels ensures that a desired amount of oxygen is delivered to sample cells or tissues in a controlled manner.

Abstract: Embodiments disclosed herein include a method for field adjusting calibrating factors of a plurality of RF impedance matches for control of a plurality of plasma chambers. In an embodiment, the method comprises collecting and storing in a memory data from operation of the plurality of RF impedance matches, and finding a tune space for each of the plurality of RF impedance matches from the collected data. In an embodiment, the method further comprises finding adjustments to account for variability in each of the plurality of RF impedance matches, finding adjustments to variable tuning elements of the plurality of RF impedance matches to account for time varying and process related load impedances, and the method further comprises obtaining operating windows for the variable tuning elements in the plurality of RF impedance matches.

Abstract: Techniques of data flow control are disclosed herein. One example technique includes upon receiving a notification indicating a change to a content item in a source shard, parsing the content item to extract data representing attributes of the content item and identifying a partition of the system-wide index based on the extracted data representing the attributes of the content item. The example technique can also include transmitting, to a token issuer, a request for a token that represents a permission to write to the identified partition of the system-wide index and upon receiving a token issued by the token issuer in response to the transmitted request, transmitting the extracted data representing the attributes of the content item along with the received token to write the extracted data in the partition of the system-wide index.

Abstract: Traditional food quality monitoring systems fail to monitor the variation of food quality in real-time scenarios. Existing machine learning approaches require dedicated data models for different classes of food items due to differences in characteristics of different food items. Also, to generate such data models, a lot of annotated data is required per food item, which are expensive. The disclosure herein generally relates to monitoring and shelf-life prediction of food items, and, more particularly, to system and method for real-time monitoring and shelf-life prediction of food items. The system generates a data model using a knowledge graph indicative of a hierarchical taxonomy for a plurality of categories of the plurality of food items, which in turn contains metadata representing similarities in physio-chemical degradation pattern of different classes of the food items. This data model serves as a generic data model for real-time shelf-life prediction of different food items.

Abstract: Techniques described herein relate to a method for performing capacity planning services. The method includes obtaining a current CP state from a client; in response to obtaining the current state: selecting an action based on the current CP state; providing the action to the client, wherein the client performs the action; in response to providing the action: obtaining a new CP state and a headcount associated with the action; calculating a reward based on the headcount and a reward formula; storing the current CP state, the action, the new CP state, and the reward as a learning set in storage comprising a plurality of learning sets; and performing a learning update using a portion of the plurality of learning sets to generate an updated actor, an updated critic, an updated target actor, and an updated target critic.

Abstract: Described are techniques for an intelligent code editor that intelligently provides software development suggestions based on the coding techniques of a software developer. The techniques include analyzing source code samples associated with a software developer to determine coding techniques utilized by the software developer. The techniques further include monitoring code editing input received by an intelligent code editor to identify a software design pattern, where the code editing input is associated with the software developer. The techniques further include generating a suggested software design pattern that is based on the software design pattern identified in the code editing input and the coding techniques of the software developer, and displaying the suggested software design pattern in the intelligent code editor to allow the suggested software design pattern to be incorporated into the code editing input using the intelligent code editor.

Abstract: The following relates generally to (i) identifying a type of countertop in a home, and/or (ii) using a type of countertop to estimate a value of a home and/or determine a homeowners insurance premium. In some embodiments, one or more processors receive a first plurality of images including depictions of countertops, and train a countertop identification machine learning algorithm based upon the first plurality of images. The one or more processors may then receive a second plurality of images, which (i) includes a greater number of images than the first plurality of images, and (ii) includes labeled objects. The one or more processors may then further train the countertop identification machine learning algorithm based upon the second plurality of images.

Abstract: Compounds for treating preventing malaria and, particularly, to larvicidal agents that are 4-[(substituted 1H-benzimidazol-2-ylsulfanyl)methyl]-6-substituted-2H-chromen-2-ones derivatives and their use as larvicidal agents.

Abstract: Methods and apparatuses associated with surface cleaning are described. Examples can include detecting at a processing resource of a robot and via a temperature sensor of the robot, a temperature of a surface on which the robot is located. Examples can include the processing resource shutting down the robot in response to the temperature being at or above a particular threshold temperature, and the processing resource instructing the robot to clean the surface following a particular cleaning path using a vacuum, a scrubber, or both in response to the temperature being below a particular threshold temperature.

Abstract: In aspects of user interface adjustments for ergonomic device grip, a mobile device displays a user interface that includes one or more selectable user interface elements. Based on sensor data collected by sensors of the mobile device, a user is determined to be holding the mobile device with an ergonomically incorrect grip pattern. In response to the ergonomically incorrect grip pattern of the user being determined, the one or more selectable user interface elements are moved to a region of the user interface that facilitates the user holding the mobile device with an ergonomically correct grip pattern.

Abstract: At least some embodiments are directed to a system to compute uniform structured summarization of customer chats. In at least some embodiments, the system may operate a processor and receive a corpus of chats between customers and customer service representatives of an enterprise. Grouping the corpus of chats into subgroup task types and then extracting chat keywords and chat related words for each subgroup task type. Generating an expandable template data structure for each subgroup task type. Processing at least one chat to extract chat utterances and chat snippets ranking the chat utterances and chat snippets. Populating the expandable template data structure based on rankings to generate a chat summary data structure.

Abstract: Aspects of the disclosure relate to upgrading an application within a simulated version of an enterprise system to detect and correct potential errors as a result of the upgrade. A computing platform may create a simulated version of the enterprise system by receiving metadata associated with the enterprise system, and converting the metadata into system parameters. Virtual parameters may be created by the computing system based on upgrading an application within the simulated version of the enterprise system. The computing system may create system nodes and virtual nodes. The system nodes and virtual nodes may be dynamically linked in order to determine errors caused by the application upgrade within the simulated version of the enterprise system. The computing platform may determine actions to correct the errors and input the results and feedback into an AI engine to further refine the accuracy and reliability of the computing platform over time.

Abstract: Techniques described herein relate to a method for generating address recommendations. The method includes obtaining, by a recommendation system, an address recommendation request associated with an address, wherein the address is associated with a user; in response to obtaining the address recommendation request: generating a context vector associated with the address; generating an address recommendation based on the context vector using a recommendation model; obtaining user feedback associated with the address recommendation; generating a reward based on the user feedback; and updating the recommendation model based on the context vector, the address recommendation and the reward.