Abstract: A melt-blown fabric for pouching smokeless tobacco or a smokeless tobacco substitute can include melt-blown polymer fibers. The fabric can have a basis weight of less than 30 gsm and a tensile strength of at least 4mJ in at least one predetermined direction. Method of making the fabric can include melt-blowing a polymeric material against a support surface and bonding the fibers or arranging them in a predetermined orientation. Pouched smokeless tobacco or tobacco substitute products including the fabrics provided herein can provide desirable flavor and tactile experience.

Abstract: Aspects of the present disclosure are presented for systems and methods for identifying characteristics of a return pad in a monopolar electrosurgical system using contact quality monitoring (CQM) and near field communication (NFC) signals. In some aspects, resistance or impedance materials are sensed that may help identify what kind of return pad is being used, including what is the structure of the pad. In some aspects, NFC signals are used to identify characteristics of the return pad. In some aspects, the grounding or return pad may include two separate materials that form an interconnecting or interwoven mesh and both act as non-active electrodes when both contact the patient. A non-zero impedance may separate conductive lines connecting the two separate materials that may be analyzed to obtain a defining signature about that is linked to structural characteristics about the return pad.

Abstract: Images of key phrases or hashtags appear on televised feeds. Image processing techniques, such as feature locating algorithms or character recognition algorithms, can be used to locate the images of key phrases in the images. Then, character recognition algorithms can be used to generate a list of candidate key phrases for the key phrase in image format. However, identification of the key phrase in image format is not completely accurate with conventional methods. Social media content items associated with the televised feed are used to filter the list of candidate key phrases. Using known information about the televised feed as well as about key phrases in text format in the social media content items, candidate key phrases in the list of candidate key phrases can be scored and, thus, a final candidate key phrase selected based on the scores.

Abstract: Images of key phrases or hashtags appear on televised feeds. Image processing techniques, such as feature locating algorithms or character recognition algorithms, can be used to locate the images of key phrases in the images. Then, character recognition algorithms can be used to generate a list of candidate key phrases for the key phrase in image format. However, identification of the key phrase in image format is not completely accurate with conventional methods. Social media content items associated with the televised feed are used to filter the list of candidate key phrases. Using known information about the televised feed as well as about key phrases in text format in the social media content items, candidate key phrases in the list of candidate key phrases can be scored and, thus, a final candidate key phrase selected based on the scores.

Abstract: Images of key phrases or hashtags appear on televised feeds. Image processing techniques, such as feature locating algorithms or character recognition algorithms, can be used to locate the images of key phrases in the images. Then, character recognition algorithms can be used to generate a list of candidate key phrases for the key phrase in image format. However, identification of the key phrase in image format is not completely accurate with conventional methods. Social media content items associated with the televised feed are used to filter the list of candidate key phrases. Using known information about the televised feed as well as about key phrases in text format in the social media content items, candidate key phrases in the list of candidate key phrases can be scored and, thus, a final candidate key phrase selected based on the scores.

Abstract: Images of key phrases or hashtags appear on televised feeds. Image processing techniques, such as feature locating algorithms or character recognition algorithms, can be used to locate the images of key phrases in the images. Then, character recognition algorithms can be used to generate a list of candidate key phrases for the key phrase in image format. However, identification of the key phrase in image format is not completely accurate with conventional methods. Social media content items associated with the televised feed are used to filter the list of candidate key phrases. Using known information about the televised feed as well as about key phrases in text format in the social media content items, candidate key phrases in the list of candidate key phrases can be scored and, thus, a final candidate key phrase selected based on the scores.

Abstract: In one embodiment, a system is provided for executing bulk data transfers between persistent data stores. Programmatic source interfaces are each associated with a source store, defined according to a source interface specification, and exposed during a transfer to enable extraction from its source store of data entities for loading into any selected target stores during the transfer. Programmatic target interfaces are each associated with a target store, defined according to a common target interface specification, and exposed during a transfer to enable loading into its target store of data entities extracted from any selected source stores during the transfer.

Abstract: In one embodiment, a system is provided for executing bulk data transfers between persistent data stores. A data integration server is coupled to persistent data stores. Programmatic source interfaces are each associated with a source store, defined according to a source interface specification, and exposed within the server during a transfer to enable the server to extract from its source store data entities for loading into any selected target data stores during the transfer. Programmatic target interfaces are each associated with a target store, defined according to a target interface specification, and exposed within the server during a transfer to enable the server to load into its target store data entities extracted from any selected source data stores during the transfer.

Abstract: In one embodiment, a system is provided for executing bulk data transfers between persistent data stores in connection with an enterprise-level business workflow. A data integration server is coupled to one or more stores. Programmatic source interfaces are each associated with a source store, defined according to a source interface specification, and exposed within the server during a transfer in connection with an enterprise-level business workflow to enable the server to extract from its source store data entities for loading into any selected target stores during the transfer. Programmatic target interfaces are each associated with a target store, defined according to a target interface specification, and exposed within the server during a transfer in connection with an enterprise-level business workflow to enable the server to load into its target store data entities extracted from any selected source stores during the transfer.

Abstract: In one embodiment, a system is provided for executing bulk data transfers between persistent data stores. Programmatic source interfaces are each associated with a source store, defined according to a source interface specification, and exposed during a transfer to enable extraction from its source store of data entities for loading into any selected target stores during the transfer. Programmatic target interfaces are each associated with a target store, defined according to a common target interface specification, and exposed during a transfer to enable loading into its target store of data entities extracted from any selected source stores during the transfer.

Abstract: In one embodiment, a system is provided for executing bulk data transfers between persistent data stores. A data integration server is coupled to persistent data stores. Programmatic source interfaces are each associated with a source store, defined according to a source interface specification, and exposed within the server during a transfer to enable the server to extract from its source store data entities for loading into any selected target data stores during the transfer. Programmatic target interfaces are each associated with a target store, defined according to a target interface specification, and exposed within the server during a transfer to enable the server to load into its target store data entities extracted from any selected source data stores during the transfer.

Abstract: In one embodiment, a system is provided for executing bulk data transfers between persistent data stores in connection with an enterprise-level business workflow. A data integration server is coupled to one or more stores. Programmatic source interfaces are each associated with a source store, defined according to a source interface specification, and exposed within the server during a transfer in connection with an enterprise-level business workflow to enable the server to extract from its source store data entities for loading into any selected target stores during the transfer. Programmatic target interfaces are each associated with a target store, defined according to a target interface specification, and exposed within the server during a transfer in connection with an enterprise-level business workflow to enable the server to load into its target store data entities extracted from any selected source stores during the transfer.