Abstract: A system for collecting water may include a base and a first arm connected to the base. The first arm may have a first base portion connected to the base and a first extension portion opposite the first base portion. The system may further include a grid extended between the base and the first extension portion. The grid may include a set of hydrophilic fibers extending substantially parallel to the base and a set of hydrophobic fibers intersecting with the hydrophilic fibers.

Abstract: A carbon cost logistics system is provided which uses supply-chain-based data-analysis to determine, at least in part, a carbon logistics cost for each item of multiple items, and based on the determined carbon logistics costs, identifies a lowest carbon logistics cost item of the multiple items. The system further determines whether the lowest carbon logistics cost item of the multiple items meets one or more user-specified constraints, and based on the lowest carbon logistics cost item meeting the user-specified constraint(s), initiates an action to obtain the lowest carbon logistics cost item.

Abstract: A system, method, and computer program product for implementing configuration solution service management is provided. The method includes ingesting from managed hardware and software service components associated with a first entity, data and associated metadata associated with establishing baseline analysis code. The data and associated metadata are analyzed via execution of code associated with a recurrent neural network and long short-term memory configured to determine if a current managed hardware or software solution service design is associated with client requirements and industry trends. Recommendations, statistical analysis, predictions, a proposed new client profile, and sizing attributes of the additional managed hardware and software service components are generated. In response, additional managed hardware and software service components are configured with respect to operationally functionality for the first entity.

Abstract: A system for collecting water may include a base and a first arm connected to the base. The first arm may have a first base portion connected to the base and a first extension portion opposite the first base portion. The system may further include a grid extended between the base and the first extension portion. The grid may include a set of hydrophilic fibers extending substantially parallel to the base and a set of hydrophobic fibers intersecting with the hydrophilic fibers.

Abstract: A user can wear a device which emits a visual and/or audible output. The output changes over time. A system is capable of predicting the output. Thus, the system can analyze a video and determine, based on observed output of the device, whether the video has been modified. The output can be particularly difficult for humans to modify, detect, understand, or recreate, further impeding attempts to disguise edits to the video.

Abstract: A method, system and computer program product for data backup based on a workload behavior includes a first computer identifying, using machine learning tools, data associated with frequently accessed files on the first computer by a workload being processed by a second computer. The first computer processes the identified data associated with the frequently accessed files to generate a list of frequently accessed files by the workload, and compares the list of frequently accessed files to backup policy rules active on the first computer. Based on the comparison, the first computer identifies a mismatch between the list of frequently accessed files and the backup policy rules, and specifies a new backup rule to update the backup policy rules for each identified mismatch between the list of frequently accessed files and the backup policy rules.

Abstract: A user can wear a device which emits a visual and/or audible output. The output changes over time. A system is capable of predicting the output. Thus, the system can analyze a video and determine, based on observed output of the device, whether the video has been modified. The output can be particularly difficult for humans to modify, detect, understand, or recreate, further impeding attempts to disguise edits to the video.

Abstract: A method, system, and program product for selecting software is provided. The method includes retrieving audio data during a call with a subject matter expert (SME). The audio data is converted into a data training set and documents of the SME are converted into a document training set. Canonical documents generated by authors are analyzed and specified code is extracted from the text data training set and document training set. Attributes of individuals are detected. The attributes are compared with specified data and the canonical documents and it is determined that the individuals are requesting information associated with the text data. The information is provided to the individuals via the canonical documents or the documents of the SME and it is determined if a matched set of data exists between the attributes, the specified data, and the canonical documents. A digital action associated with results of the determination is executed.

Abstract: A method for dynamically modifying quality-of-service tags for multiple data flows is disclosed. In one embodiment, such a method determines current bandwidth utilization for each of multiple data flows passing through a network, and determines acceptable bandwidth utilization for each of the multiple data flows. The method receives external information that, based on one or more rules, is used to adjust quality of service priorities for one or more of the data flows. Based on the external information, the method dynamically adjusts quality-of-service tags for data packets associated with the data flows, such that current bandwidth utilization is altered for at least one data flow of the multiple data flows without violating acceptable bandwidth utilization for each of the multiple data flows. A corresponding system and computer program product are also disclosed.

Abstract: Cross backup application diskless data migration is provided. Legacy data backups eligible for migration are identified in a legacy backup environment. Application specific information regarding the legacy data backups eligible for migration is received. The application specific information is filtered to indicate only legacy backup data that must be migrated representing a type of migration desired. The application specific information corresponding to the legacy backup data that must be migrated is presented as a virtual filesystem mounted within an operating system such that the application specific information is seen as live local data. A backup of the virtual filesystem mounted within the operating system is performed.

Abstract: A content-lifecycle management system (CLMS) intercepts a request to perform an action upon a data object in a domain of a multi-domain computing environment during a certain phase of the object's lifecycle. The CLMS retrieves data and rules from a cross-domain distributed ledger that is accessible throughout the multi-domain environment. The retrieved information includes content-lifecycle management policies that control which actors can perform certain types of actions upon specific data objects during various lifecycle phases. The ledger also describes and classifies actors, dependency relationships between storage and infrastructure components of the environment, and the results of past requests.

Abstract: A method, system, and program product for selecting software is provided. The method includes retrieving audio data during a call with a subject matter expert (SME). The audio data is converted into a data training set and documents of the SME are converted into a document training set. Canonical documents generated by authors are analyzed and specified code is extracted from the text data training set and document training set. Attributes of individuals are detected. The attributes are compared with specified data and the canonical documents and it is determined that the individuals are requesting information associated with the text data. The information is provided to the individuals via the canonical documents or the documents of the SME and it is determined if a matched set of data exists between the attributes, the specified data, and the canonical documents. A digital action associated with results of the determination is executed.

Abstract: A method, system and computer program product for data backup based on a workload behavior includes a first computer identifying, using machine learning tools, data associated with frequently accessed files on the first computer by a workload being processed by a second computer. The first computer processes the identified data associated with the frequently accessed files to generate a list of frequently accessed files by the workload, and compares the list of frequently accessed files to backup policy rules active on the first computer. Based on the comparison, the first computer identifies a mismatch between the list of frequently accessed files and the backup policy rules, and specifies a new backup rule to update the backup policy rules for each identified mismatch between the list of frequently accessed files and the backup policy rules.

Abstract: Cross backup application diskless data migration is provided. Legacy data backups eligible for migration are identified in a legacy backup environment. Application specific information regarding the legacy data backups eligible for migration is received. The application specific information is filtered to indicate only legacy backup data that must be migrated representing a type of migration desired. The application specific information corresponding to the legacy backup data that must be migrated is presented as a virtual filesystem mounted within an operating system such that the application specific information is seen as live local data. A backup of the virtual filesystem mounted within the operating system is performed.

Abstract: A content-lifecycle management system (CLMS) intercepts a request to perform an action upon a data object in a domain of a multi-domain computing environment during a certain phase of the object's lifecycle. The CLMS retrieves data and rules from a cross-domain distributed ledger that is accessible throughout the multi-domain environment. The retrieved information includes content-lifecycle management policies that control which actors can perform certain types of actions upon specific data objects during various lifecycle phases. The ledger also describes and classifies actors, dependency relationships between storage and infrastructure components of the environment, and the results of past requests.