Abstract: Systems and methods for polynucleotide synthesis utilize electrochemical deprotection and novel redox chemistries compatible with advanced CMOS nodes, for highly reliable and massively scalable parallel construction of polynucleotide segments having a desired sequence or sequences. Via use of these exemplary techniques, low-cost and large-scale polynucleotide synthesis is facilitated, for example for data storage and retrieval applications.

Abstract: A method for selectively untying at least one of compression related links to a stale reference chunk, the method may include determining whether a compression effectiveness condition is fulfilled in relation to a set of referring chunks that are compressed using the stale reference chunk and are linked to the to the stale reference chunk by the compression related links; wherein the compression effectiveness condition is responsive to, at least, a number of the referring chunks of the set; and untying the at least one compression related links to the stale reference chunks when the compression effectiveness condition is not fulfilled.

Abstract: A time-expiring label system is provided that includes a release liner having a first label part, a second label part, and a third label part releasably secured thereto with an adhesive. The system further includes a first time-expiring component on the first label part and a second time-expiring component on the second label part. The first and second time-expiring components are configured so that, upon removal of the second label part from the release liner and placement onto the first label part, a time-expiring reaction commences. The third label part has textual and/or visual instructions for removing the second label part from the release liner and placing of the second label part onto the first label part.

Abstract: A method for fault tree analysis (FTA) of a system, the method may include (i) preforming FTA of the system using multiple hybrid events to provide a FTA result, wherein each hybrid event represents both latent failure modes and evident failure modes; and (ii) responding to the FTS result.

Abstract: An identity profile of a user is tracked using previous message communications of the user. A message identified as potentially from the user is received. The identity profile of the user is identified and obtained. Information is extracted from a header of the received message. A security risk assessment of the received message is determined at least in part by comparing the extracted information with one or more corresponding entries of the identity profile of the user. A security action is performed based on the determined security risk assessment.

Abstract: A measure of influence of a sender entity is determined for a message receiving entity based at least in part on an analysis of previous electronic messages sent by the sender entity. An electronic message associated with the sender entity is received. The measure of influence of the sender entity is utilized to determine a security risk associated with the received electronic message.

Abstract: A method for analyzing data in a social network. A social graph for a user account associated with a social network is created. A social score for the user account is determined to be above a threshold, and a participation score for the user account is generated based on data associated with previous information spread events in the social network. An impact score for the user account is calculated based on the social and participation scores for the user account. A state model for a future information spread event in the social network is constructed and then run with and without the user account present. A comparison is made between the flows of information through the social network with and without the user account present in the state model, and a determination is made as to whether a difference between the flows of information satisfies a predetermined condition.

Abstract: A method and computer programmes for the management of vehicle fleets are proposed. The method comprises the obtaining of data concerning the state and the operation of each of a plurality of vehicles of a particular type in a vehicle fleet; detecting an anomalous average fuel consumption over a certain period in at least one first vehicle of said vehicle fleet on the basis of analysis of the data received; determining and accounting for the cause of said anomalous average fuel consumption detected by means of the implementation of an explainable artificial intelligence algorithm that takes into account different parameters of the first vehicle, including parameters concerning: the driving behaviour of the first vehicle over a set period of time, the state of the first vehicle, and a number of meteorological and environmental elements.

Abstract: There may be provided a method for managing column extents of a tabular database, the method may include (a) generating a multi-snapshot row score to each row of a group of rows of the tabular database multiple rows; wherein the multi-snapshot score is indicative of fullness of the row in the multiple snapshots; wherein the group of rows comprises column extents associated with column extents metadata; and (b) improving a column extent metadata parameter by reordering the rows of the group of rows according to the multi-snapshot row scores to provide a re-ordered group of rows that comprises re-ordered group extents associated with re-ordered column extents associated with re-ordered column extents metadata.

Abstract: This invention relates to marketing and creation of digital content (text, voice, video, imagery, etc.) and understanding what topics are most relevant for an intended audience, its size, the type of content that audience wants to consume, and the optimal distribution method (social media, email, podcasts, voice assistants, web pages, mobile apps, etc.), and leveraging machine learning to automatically create content with a high chance of success.

Abstract: The invention discloses an aggregation optimized processing method for time-series data, characterized by comprising the following steps: writing a time-series data record into a database, forming a time-series database file, wherein the time-series database file comprises a data file and an index file, the data file comprises multiple data blocks, the index file comprises index blocks, and each index block correspond to one data block; by scanning an index file according to a start time period and a stop time period, extracting all index blocks of the time series that need to be aggregated that meet the time period conditions, and then sorting the index blocks according to the data block offset recorded in the index block; and by scanning the data file according to a data block offset order recorded in sorted index blocks, performing specified reading and calculating on each data block, and aggregating calculation results.

Abstract: A method for programming a network transceiver is provided. The method includes: providing a network transceiver having a programming interface; obtaining transceiver identification information via a radio-frequency transceiver programming system (RTPS); obtaining, via the RTPS, configuration data for the network transceiver based on the transceiver identification information; transmitting, via the RTPS, at least some of the configuration data via a radio-frequency (RF) interface; and programming the network transceiver via the programming interface using the at least some of the configuration data received via the RF interface. Corresponding systems, apparatuses (including smart labels, host devices, and transceivers) are also provided.

Abstract: A system and method for detecting and preventing ransomware includes creating a number of watch files in a filesystem and adding a location and a timestamp of each to an ingest log. A number of native files are found in the filesystem and cataloged, adding the location and the timestamp of each to the ingest log. Periodically, each timestamp of each entry in the ingest log is compared to a current timestamp of a corresponding file in the filesystem and a count of watch files that have change and a count of native files that have changed is made. If the count of watch and native files that have changed indicate that a ransomware program is running on the computer, the ransomware program is suspended and reported. If a command indicates that the ransomware program is not ransomware, execution of the program is resumed.

Abstract: The systems and methods described herein analyze one or more selected data sources in their entirety and determine data relationships, using a single-branch approach. Indexes are created based on the determined data relationships, and data from the one or more data sets is imported into the indexes and stored in a back-end storage system. Once the data is analyzed and stored in the indexes, a user can submit a request for a data visualization. In response to the request, the system automatically generates (e.g., builds) and displays the requested data visualization to the user. In some examples, the user may request a modification of the data visualization such as changing the timeframe shown in the data visualization or adding/removing data associated with a particular parameter, and the system will automatically generate the modified data visualization for the user.

Abstract: The present invention provides systems and methods for use with electronic records, such as Electronic Medical Records (EMRs). A parser engine may receive a stream of Health Level 7 (HL7) messages containing EMR data and, using parsing logic, parse the HL7 messages to identify and extract specified EMR data therefrom. The extracted EMR data may be utilized in determining analytic results data that may be presented, or made available for presentation, to a medical professional or medical staff member, in real time or near real time relative to entry of the EMR data into an EMR system.

Abstract: Disclosed herein are systems, methods, and storage media for distributed system security. In an example embodiment, a computer-executable method includes receiving a first item of executable code, calculating a hash of the first item of executable code, and comparing the calculated hash to a database of hashes. Responsive to a determination that the calculated hash does not match any hash in the database of hashes, a first security policy is applied to the first item of executable code. Triggering of the first policy indicates that the first item of executable code should be blocked from execution. If the first item of executable code does not trigger the first security policy, the method includes executing the first item of executable code and intercepting a request initiated by the first item of executable code during execution. In the request matches a second security policy, the request is blocked and/or filtered or sanitized, based on attribute-based access control policies.

Abstract: Disclosed is a near-seabed video data positioning correction method based on an ultra-short baseline, comprising the following steps: acquiring ultra-short baseline positioning data; eliminating abnormal data in the ultra-short baseline positioning data, establishing a four-dimensional elimination model, and eliminating the abnormal data in X, Y and Z directions; modeling the correction method of the recombined ultra-short baseline positioning data after removing abnormal data; obtaining the positioning data of the camera drag with specified precision by simulation. The application realizes the positioning correction of video data under the existing conditions and established operation modes, and eliminates, simulates and corrects the error data generated by the time change of ultra-short baseline data used for video positioning in the heading and other directions by integrating and using various survey data, so as to position the near-bottom video data.

Abstract: An integrated system including an adapter, a first PaaS module, and a second PaaS module and an integrated method between multi-cloud applications are provided. When a tenant device accesses the first PaaS module so that the first PaaS obtains a login request, the first PaaS module generates first token data according to the login request and provides the first token data to the tenant device. When the tenant device provides login data to a second SaaS module to log in to the second SaaS module for the first time, the second SaaS module provides the login data to the adapter. The adapter verifies and parses the login data to generate the first token data and tenant information, obtains second token data according to the tenant information, and maps the second token data to the first token data. The integrated system and the integrated method can efficiently integrate the SaaS modules.

Abstract: The method for transmitting power wirelessly may comprise: transmitting power wirelessly to a receiving device, receiving, from the receiving device, a first Q factor including a Q frequency and a Q value measured by the receiving device while transmitting the power, and obtaining a second foreign object boundary line by adjusting a first foreign object boundary line based on a first Q point corresponding to the first Q factor in a Q plane with a Q frequency and a Q value as two axes. The method may detect, as a second Q factor, a Q frequency and a Q value of a resonance circuit included in a transmitting apparatus, and continue or stop a power transmitting operation based on a comparison of a second Q point corresponding to the second Q factor and the second foreign object boundary line in the Q plane.

Abstract: A business data course management system and a business data course management method are provided. An electronic device sends a first calling information corresponding to the first application programming interface (API) to a business data course management server. According to a first API identifier corresponding to the first API, the business data course management server loads a corresponding first extraction rule to extract a first upstream business data type information, a first upstream business data identifier, a first downstream business data type information, and a first downstream business data type identifier from the first calling information according to the first extraction rule. The business data course management server creates a first upstream business data record and creates a first downstream business data record.