Abstract: Stapling assemblies for use with a surgical stapler are provided. In one exemplary embodiment, the stapling assembly includes a cartridge having a plurality of staples disposed therein and a non-fibrous adjunct formed of at least one fused bioabsorbable polymer and configured to be releasably retained on the cartridge. Adjunct systems for use with a surgical stapler are also provided. Surgical end effectors using the stapling assemblies are also provided. Methods for manufacturing stapling assemblies and using the same are also provided.

Abstract: A self-powered wireless keyboard by modifying the structure of a traditional membrane keyboard having a volcanic crater structure. Not damaging the original membrane keyboard structure, a micro magnet core is installed inside a cylindrical protrusion block under the key cap as a mover of the induction power generation device, and an induction coil is wound in a key slot of the keyboard base as the stator of the induction power generation device. In this way, when each key is pressed, it will produce induction current. A layer of flexible solar cell can be laid on the upper surface of the key, which can generate electricity by collecting the light energy in the surrounding environment during the time of daily illumination.

Abstract: Provided is an aggregation index structure and an aggregation index method for improving aggregation query efficiency. The aggregation index partitions streaming data through two dimensions of grouping and slicing, and then aggregates the partitioned data. The structure includes index metadata, a sliced data list and a detailed data store; the aggregation index method includes three parts: aggregation index definition, aggregation index creation and aggregation index query. The aggregation index structure and method provided by the present disclosure can greatly improve the efficiency of aggregation query, support the ad hoc aggregation query of PB-level data, complete the aggregation query of a large amount of data in seconds, support the insertion of new data at any time, and return the query results in minutes or even seconds latency in the event of changes of the query range conditions.

Abstract: A textured glass article includes: a body comprising an aluminosilicate glass comprising greater than or equal to 16 wt % Al2O3, the body having at least a first surface; and a plurality of polyhedral surface features extending from the first surface, each of the plurality of polyhedral surface features comprising a base on the first surface, a plurality of facets extending from the first surface, and a surface feature size at the base greater than or equal to 10 ?m and less than or equal to 350 ?m, wherein the plurality of facets of each polyhedral surface feature converge toward one another.

Abstract: Methods and systems for monitoring through graphical user interfaces are disclosed. In one aspect, a system is disclosed that includes a processor and data storage including instructions that, when executed by the processor, cause the system to perform operations. The operations include maintaining an input file including predetermined criteria for a plurality of factors, receiving a model dataset generated using a model, based on the input file and the model dataset, generating a first graphical user interface that includes a graphical illustration of a subset of the plurality of factors, a model risk for the model, and a selectable feature associated with a selected factor in the subset and a selected time period. The operations further include receiving through the first graphical user interface a selection of the selectable feature, and, in response, generating a second graphical user interface that recolors a portion of the first graphical user interface.

Abstract: A set of documents related to a particular topic, industry, or entity are received. Sentences are extract from each document. The sentences are grouped into tuples of one, two, or three consecutive sentences (i.e., short text sequences). The sentence tuples are clustered based on vector representations of the sentences. For each cluster, a set of tuples that best represents or best fits the cluster is selected. These sentence tuples are fed to an ontology to determine ontological entities associated with each tuple. These determined ontological entities are associated with the clusters corresponding to each tuple. The sentence tuples associated with each cluster are labeled based on the ontological entities associated with the cluster. The labeled sentence tuples may then be used for a variety of purposes such as training a model to determine the topic of short text sequences.

Abstract: Methods and systems for monitoring through graphical user interfaces are disclosed. In one aspect, a system is disclosed that includes a processor and data storage including instructions that, when executed by the processor, cause the system to perform operations. The operations include maintaining an input file including predetermined criteria for a plurality of factors, receiving a model dataset generated using a model, based on the input file and the model dataset, generating a first graphical user interface that includes a graphical illustration of a subset of the plurality of factors, a model risk for the model, and a selectable feature associated with a selected factor in the subset and a selected time period. The operations further include receiving through the first graphical user interface a selection of the selectable feature, and, in response, generating a second graphical user interface that recolors a portion of the first graphical user interface.

Abstract: Devices, systems, and methods are provided for demographic matching and content selection for unidentified audiences. A method may include receiving, by a first device of a first device type, a request to present first content to a user of a first audience using a second device; determining a time at which the first content is to be presented to the first audience using the second device; identifying a second audience to which the second content is to be presented using devices of the first device type during a time period that includes the time; determining a probability that the user belongs to an audience group that includes users of the second audience based on the second content, the time period, and a second device type of the second device; and causing selection of the first content or third content for presentation to the first audience.

Abstract: Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.

Abstract: An analysis platform combines unsupervised and semi-supervised approaches to quickly surface and organize relevant user intentions from conversational text (e.g., from natural language inputs). An unsupervised and semi-supervised pipeline is provided that integrates the fine-tuning of high performing language models via a language models fine-tuning module, a distributed KNN-graph building method via a KNN-graph building module, and community detection techniques for mining the intentions and topics from texts via an intention mining module.

Abstract: Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.

Abstract: A runoff yield calculation method and device based on double free reservoirs, and a storage medium are provided, the method includes: forming a four-layer vadose zone structure by making a tension water storage layer be located under a deep vadose zone based on a three-layer vadose zone structure of a Xin'anjiang model; dividing a space occupied by free water in the four-layer vadose zone structure into an upper free reservoir and a lower free reservoir; calculating a time interval runoff yield by using a saturation excess runoff method; and dividing, based on a runoff yield structure of the double free reservoirs, the time interval runoff yield into a surface runoff, an interflow and a subsurface runoff. The method proposes a runoff yield structure of double free reservoirs, which can be well applied to semi-arid and semi humid watersheds with deeper buried depth of shallow groundwater.

Abstract: A method for pollutant sensor placement is described. Data about environmental characteristics across a geographic region is received from a plurality of environmental sensors. The geographic region includes one or more pollutant sources that emit a pollutant. The received data is transformed from one or more of the plurality of environmental sensors into common data having a common grid across the geographic region. The geographic region is divided into a plurality of sub-regions based on the common data. Locations within the geographic region are determined for placement of pollutant sensors based on estimated dispersion of the pollutant through the plurality of sub-regions.

Abstract: Some embodiments of the present application include obtaining first data from a data feed to be provided to a plurality of machine learning models and detecting a changepoint in the first data. In response to the changepoint being detected, a first machine learning model may be executed on the first data to obtain first output datasets. A first performance score for the first machine learning model may be computed based on the first output datasets. A second machine learning model may be caused to execute on the first data based on the first performance score satisfying a first condition.

Abstract: Disclosed is a novel fast adder, which belongs to the field of computer hardware processor design. By means of the novel fast adder, the number of gate circuit levels of a common adder can be reduced, such that the operating speed of a computer is increased. Two groups of recording modules are used for recording signals, and after the two groups of recording modules complete signal recording, a signal unit of one group of recording modules transfers the recorded signals to a signal-free unit of the other group of recording modules, and simplification of operation data is completed, and then a data addition operation is carried out, such that the operation time is shortened.

Abstract: A compound according to following formula can be prepared, where R1 is an F or I residue.

Abstract: Methods and systems for monitoring through graphical user interfaces are disclosed. In one aspect, a system is disclosed that includes a processor and data storage including instructions that, when executed by the processor, cause the system to perform operations. The operations include maintaining an input file including predetermined criteria for a plurality of factors, receiving a model dataset generated using a model, based on the input file and the model dataset, generating a first graphical user interface that includes a graphical illustration of a subset of the plurality of factors, a model risk for the model, and a selectable feature associated with a selected factor in the subset and a selected time period. The operations further include receiving through the first graphical user interface a selection of the selectable feature, and, in response, generating a second graphical user interface that recolors a portion of the first graphical user interface.